mingyuan-zhang.github.io Mingyuan-zhang.github.io

   
Mingyuan Zhang - Homepage

Domain Summary

What is the traffic rank for Mingyuan-zhang.github.io?

• Mingyuan-zhang.github.io ranks #7,266,031 globally on HypeStat.

What percent of global Internet users visit Mingyuan-zhang.github.io?

5.0E-7% of global Internet users visit Mingyuan-zhang.github.io

How many people visit Mingyuan-zhang.github.io each day?

• Mingyuan-zhang.github.io receives approximately 23 visitors and 23 page impressions per day.

Which countries does Mingyuan-zhang.github.io receive most of its visitors from?

• Mingyuan-zhang.github.io is mostly visited by people located in United States.

How much Mingyuan-zhang.github.io can earn?

• Mingyuan-zhang.github.io should earn about $0.11/day from advertising revenue.

What is Mingyuan-zhang.github.io estimated value?

• Estimated value of Mingyuan-zhang.github.io is $98.95.

What IP addresses does Mingyuan-zhang.github.io resolve to?

• Mingyuan-zhang.github.io resolves to the IP addresses 185.199.111.153.

Where are Mingyuan-zhang.github.io servers located in?

• Mingyuan-zhang.github.io has servers located in California, United States.

mingyuan-zhang.github.io Profile

Title:Mingyuan Zhang - Homepage Description:Zhang Mingyuan's Homepage.
Tags:
About: The website mingyuan-zhang.github.io serves as a personal portfolio and informational platform for Mingyuan Zhang, showcasing a range of academic and professional achievements, projects, and research interests. Key features include a well-structured layout that highlights various sections such as biographical information, research publications, and coding projects. The user interface is characterized by a clean and minimalist design, emphasizing readability and ease of navigation. With a focus on clarity, the site employs a straightforward navigation menu, allowing visitors to access content efficiently. Overall, the website functions as a comprehensive resource for individuals seeking to learn more about Mingyuan Zhang's work and contributions in their respective fields.
Edit Site Info

What technologies does mingyuan-zhang.github.io use?

These are the technologies used at mingyuan-zhang.github.io. mingyuan-zhang.github.io has a total of 9 technologies installed in 7 different categories.

mingyuan-zhang.github.io Traffic Analysis

Mingyuan-zhang.github.io is ranked #7,266,031 in the world. This website is viewed by an estimated 23 visitors daily, generating a total of 23 pageviews. This equates to about 696.9 monthly visitors. Mingyuan-zhang.github.io traffic has decreased by 91.83% compared to last month.
Daily Visitors23
91.83%
Monthly Visits696.9
91.83%
Pages per Visit1.03
64.51%
Visit duration n/a
100%
Bounce Rate57.94%
29.23%
Is this your site?Verify your site's metrics.
Daily Unique Visitors:
23
Monthly Visits:
697
Pages per Visit:
1.03
Daily Pageviews:
23
Avg. visit duration:
n/a
Bounce rate:
57.94%
Global Reach:
5.0E-7%
Monthly Visits (SEMrush):
30
Monthly Unique Visitors (SEMrush):
30
Monthly Visits (SimilarWeb):
689
HypeRank:
7,266,031
SEMrush Rank:
6,530,008
*All traffic values are estimates only.

Traffic sources

Direct:
100.00%
Referral:
0%
Search:
0%
Social:
0%
Paid:
0%

Desktop vs Mobile

Desktop:
100.00%
Mobile:
0%

Total Visits Last 3 Months

264
NOV
8.5K
DEC
696.9
JAN

Visitors by country

Country
Users%
 
United States 100.00%

 

SEMrush is a complete on line advertising and marketing platform that gives a extensive variety of gear and functions to help companies and entrepreneurs in enhancing their on line visibility and optimizing their virtual advertising and marketing strategies.
SemRushSemRush
Domain:
  mingyuan-zhang.github.io
Rank:
(Rank based on keywords, cost and organic traffic)
  6,530,008
Organic Keywords:
(Number of keywords in top 20 Google SERP)
  16
Organic Traffic:
(Number of visitors coming from top 20 search results)
  19
Organic Cost:
((How much need to spend if get same number of visitors from Google Adwords)
  $0.00
Last update was 128 days ago
     
This can take up to 60 seconds. Please wait...

*HypeStat.com is not promoting or affiliated with mingyuan-zhang.github.io in any way. Only publicly available statistics data are displayed.

Revenue report

mingyuan-zhang.github.io would generate approximately $0.1 per day if the source of income were advertisements, which equates to an estimated monthly revenue of $3.3 and annual gross revenue of approximately $40.2. Based on these figures, the site's net worth is estimated at around $99.

How much would mingyuan-zhang.github.io make?

Daily Revenue:
$0.11
Monthly Revenue:
$3.30
Yearly Revenue:
$40.15
*All earnings values are estimates only.

Daily earning by country

 
CountryPageviewsEarning
 
United States 23$0.11

Loss of money due to Adblock?

Daily Revenue Loss:
$0.02
Monthly Revenue Loss:
$0.60
Yearly Revenue Loss:
$7.30
Daily Pageviews Blocked:
4
Monthly Pageviews Blocked:
124
Yearly Pageviews Blocked:
1,511

Daily revenue loss by country

 
CountryBlockedLost Money
 
United States 4$0.02

How much is mingyuan-zhang.github.io worth?

Website Value:
$99

Ad Experience Report

Summary of the ad experience rating of a website for a specific platform.

Mobile summary

Root domain:
mingyuan-zhang.github.io
Ad filtering:
(Chrome is not filtering ads on your site.)
Off
Status:
(The status of the site that is reviewed for the Better Ads Standards.)
Not reviewed

Desktop summary

Root domain:
mingyuan-zhang.github.io
Ad filtering:
(Chrome is not filtering ads on your site.)
Off
Status:
(The status of the site that is reviewed for the Better Ads Standards.)
Not reviewed

Abusive Experience Report

Summary of the abusive experience rating of a website.
Root domain:
mingyuan-zhang.github.io
Enforcement:
(Chrome is not preventing your site from opening new windows or tabs.)
Off
Status:
(The status of the site reviewed for the abusive experiences.)
Not reviewed

Where is mingyuan-zhang.github.io hosted?

Mingyuan-zhang.github.io may be hosted in multiple data centers distributed in different locations around the world. This is probably just one of them.
Server IP:
185.199.111.153
ASN:
AS54113 
ISP:
Fastly 
Server Location:
California, CA
United States, US
 

Other sites hosted on 185.199.111.153

How fast does mingyuan-zhang.github.io load?

The average loading time of mingyuan-zhang.github.io is 169 ms. The Desktop speed index is 76 and mobile speed index is 67.
Average Load Time:
169 ms

Page Speed (Google PageSpeed Insights) - Desktop

76
0-49 50-89 90-100 i

Field Data

Over the last 30 days, the field data shows that this page has a AVERAGE speed compared to other pages in the Chrome User Experience Report.We are showing the 90th percentile of FCP and the 95th percentile of FID.

Cumulative Layout Shift (CLS)13ms 64% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 64% 30% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 30% 5% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 5%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)862ms 95% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 95% 1% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 1% 2% of loads for this page have a slow (>3s) First Contentful Paint (FCP) 2%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average (0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interaction To Next Paint (INP)0 0% of loads for this page have a fast (<0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have a slow (>0ms) Interaction To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0ms) Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0ms) Largest Contentful Paint (LCP) 0%

Origin Data

All pages served from this origin have an AVERAGE speed compared to other pages in the Chrome User Experience Report. over the last 30 days.To view suggestions tailored to each page, analyze individual page URLs.

Cumulative Layout Shift (CLS)13ms 64% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 64% 30% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 30% 5% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 5%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)862ms 95% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 95% 1% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 1% 2% of loads for this page have a slow (>3s) First Contentful Paint (FCP) 2%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average 0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interaction To Next Paint (INP)0 0% of loads for this page have a fast (<0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have a slow (>0ms) Interaction To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0ms) Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0ms ~ 0ms) Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0ms) Largest Contentful Paint (LCP) 0%

Lab Data

Total Blocking Time 120 ms
Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. Learn more about the Total Blocking Time metric
Time to Interactive 4.6 s
Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric
Largest Contentful Paint 4.5 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
Speed Index 0.6 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric
Max Potential First Input Delay 120 ms
The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric
LCP request discovery  
by making the LCP image discoverable from the HTML immediately, and avoiding lazy-loading Optimize LCP
First Contentful Paint 0.6 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First Contentful Paint metric
INP breakdown  
Start investigating by looking at the longest subpart. how to improve INP

Page Speed (Google PageSpeed Insights) - Mobile

67
0-49 50-89 90-100 i

Field Data

Over the last 30 days, the field data shows that this page has a speed compared to other pages in the Chrome User Experience Report.We are showing the 90th percentile of FCP and the 95th percentile of FID.

Cumulative Layout Shift (CLS)0 64% of loads for this page have a fast (<0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have an average (0s ~ 0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)0 95% of loads for this page have a fast (<0s) First Contentful Paint (FCP) 0% 0% of loads for this page have an average (0s ~ 0s) First Contentful Paint (FCP) 0% 0% of loads for this page have a slow (>0s) First Contentful Paint (FCP) 0%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average (0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interactive To Next Paint (INP)0 0% of loads for this page have a fast (<0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have an average (0s ~ 0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have a slow (>0s) Interactive To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0s) Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0s ~ 0s) Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0s) Largest Contentful Paint (LCP) 0%

Origin Data

All pages served from this origin have an speed compared to other pages in the Chrome User Experience Report. over the last 30 days.To view suggestions tailored to each page, analyze individual page URLs.

Cumulative Layout Shift (CLS)0 0% of loads for this page have a fast (<0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have an average (0s ~ 0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)0 0% of loads for this page have a fast (<0s) First Contentful Paint (FCP) 0% 0% of loads for this page have an average (0s ~ 0s) First Contentful Paint (FCP) 0% 0% of loads for this page have a slow (>0s) First Contentful Paint (FCP) 0%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average 0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interactive To Next Paint (INP)0 0% of loads for this page have a fast (<0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have an average (0s ~ 0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have a slow (>0s) Interactive To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0s)Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0s ~ 0s)Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0s)Largest Contentful Paint (LCP) 0%

Lab Data

LCP request discovery  
by making the LCP image discoverable from the HTML immediately, and avoiding lazy-loading Optimize LCP
Max Potential First Input Delay 100 ms
The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric
Largest Contentful Paint 28.8 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
Total Blocking Time 80 ms
Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. Learn more about the Total Blocking Time metric
Speed Index 4.5 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric
INP breakdown  
Start investigating by looking at the longest subpart. how to improve INP
Time to Interactive 28.8 s
Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric
First Contentful Paint 3.0 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First Contentful Paint metric

Does mingyuan-zhang.github.io use compression?

Website compression is the process of reducing the size of website files, such as HTML, CSS, JavaScript, and image files, to improve website performance and load times. Compressing website files can significantly reduce the amount of data that needs to be transferred from the server to the user's browser, resulting in faster page load times and improved user experience. Files on mingyuan-zhang.github.io are reduced by 81%.
mingyuan-zhang.github.io use gzip compression.
Original size: 41.93 KB
Compressed size: 7.63 KB
File reduced by: 34.29 KB (81%)

Google Safe Browsing

Google Safe Browsing is a service provided by Google that helps protect users from visiting websites that may contain malicious or harmful content, such as malware, phishing attempts, or deceptive software.
This site is not currently listed as suspicious

MyWot.com Reputation Ratings

MyWOT (short for "My Web of Trust") is a web-based reputation and rating service that provides users with information about the trustworthiness and safety of websites.
Status:
  SAFE

SSL Checker - SSL Certificate Verify

An SSL (Secure Sockets Layer) certificate is a digital certificate that establishes a secure encrypted connection between a web server and a user's web browser. It provides authentication and encryption, ensuring that data transmitted between the server and the browser remains private and protected. mingyuan-zhang.github.io supports HTTPS.
 mingyuan-zhang.github.io supports HTTPS
     
Verifying SSL Support. Please wait...
Common Name: *.github.io
Organization:
Location:
Issuer: Sectigo RSA Domain Validation Secure Server CA
Valid from: Mar 7 00:00:00 2025 GMT
Valid until: Mar 7 23:59:59 2026 GMT
Authority: CA:FALSE
Keysize: 2048 Bits
Common Name: Sectigo RSA Domain Validation Secure Server CA
Organization: Sectigo Limited
Location: Salford, Greater Manchester, GB
Issuer: USERTrust RSA Certification Authority
Valid from: Nov 2 00:00:00 2018 GMT
Valid until: Dec 31 23:59:59 2030 GMT
Authority: CA:TRUE
Keysize: 2048 Bits
Common Name: USERTrust RSA Certification Authority
Organization: The USERTRUST Network
Location: Jersey City, New Jersey, US
Issuer: AAA Certificate Services
Valid from: Mar 12 00:00:00 2019 GMT
Valid until: Dec 31 23:59:59 2028 GMT
Authority: CA:TRUE
Keysize: 4096 Bits

Verify HTTP/2 Support

HTTP/2 (Hypertext Transfer Protocol version 2) is a major revision of the HTTP protocol, which is the foundation of data communication on the World Wide Web. It was developed as an improvement over the previous HTTP/1.1 version to enhance web performance and efficiency.
 mingyuan-zhang.github.io supports HTTP/2
     
Verifying HTTP/2.0 Support. Please wait...

Http Header

HTTP headers are extra portions of records despatched among a consumer (which include an internet browser) and a server at some stage in an HTTP request or response. They offer instructions, metadata, or manipulate parameters for the conversation among the consumer and server.
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Fri, 19 Jul 2024 03:17:55 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"6699dae3-a7b6"
expires: Wed, 18 Feb 2026 19:03:20 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 34A6:78FC:1A023A3:1A43D0D:69960AA0
accept-ranges: bytes
age: 0
date: Wed, 18 Feb 2026 19:18:31 GMT
via: 1.1 varnish
x-served-by: cache-par-lfpg1960031-PAR
x-cache: HIT
x-cache-hits: 0
x-timer: S1771442312.579614,VS0,VE115
vary: Accept-Encoding
x-fastly-request-id: 6a6b18ac18fa1d2083028b1c35fbb8644ef8fad7
content-length: 7817

DNS Lookup

DNS entries (Domain Name System) are a critical component of the Internet infrastructure. They act as directories that translate human-readable domain names (such as example.com) to machine-readable IP addresses. DNS records are stored on DNS servers and help forward internet traffic efficiently.
Type Ip Target/Txt TTL
HINFO 3600