Mingchen Li

633 citations
26 papers · 174 · h-index 8

Impact in

Papers in

Mingchen Li

23 papers receiving 170 citations

Peers

Mingchen Li
Comparison fields: 5 of 58
  • Health Informatics 14
  • Computer Vision and Pattern Recognition 47
  • Artificial Intelligence 71
  • Analytical Chemistry 12
  • Human-Computer Interaction 6
Replace Humza Naveed with:
Humza Naveed Pakistan
Hebah ElGibreen Saudi Arabia
Yixuan Li United States
Mohamed Uvaze Ahamed Ayoobkhan Uzbekistan
Najib Ben Aoun Tunisia
Shaikh Muhammad Allayear Bangladesh
Mohammad Ali Bagheri Canada
Parismita Sarma India
Sanghyun Hong United States
Rahul Saxena India
Mingchen Li relative to Humza Naveed Pakistan Humza Naveed's profile →
Citations per field
00.5×3.8×
Humza Naveed · 1×
Citations per year

Countries citing papers authored by Mingchen Li

Since Specialization
Citations

This map shows the geographic impact of Mingchen Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingchen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingchen Li more than expected).

Fields of papers citing papers by Mingchen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingchen Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingchen Li. The network helps show where Mingchen Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingchen Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingchen Li Line = papers co-authored together Mingchen Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201827
2 202424
3 202018
4 202516
5 202114
6 202411
7 20168
8 20247
9
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
20196
10 20176
11 20215
12 20195
13 20195
14 20175
15 20244
16 20244
17 20223
18 20251
19 20241
20 20161

About Mingchen Li

Mingchen Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Environmental Engineering, having authored 26 papers that have together received 174 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (4 papers), Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers), Biomedical Text Mining and Ontologies (3 papers), Machine Learning and Algorithms (2 papers), Air Quality Monitoring and Forecasting (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Health Informatics (14 citations), Computer Vision and Pattern Recognition (47 citations), Artificial Intelligence (71 citations), Analytical Chemistry (12 citations) and Human-Computer Interaction (6 citations). Mingchen Li has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Rui Zhang, Yan Qiu Chen, Guyue Zhang, Jun Liu, Hua Xu, Samet Oymak, Halil Kilicoglu, Lihua Zhang, Dingkang Yang and Peng Zhai. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Scientific Reports, IEEE Transactions on Multimedia and Frontiers in Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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