Mingyu Chen
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems 8
-
- Advanced Image and Video Retrieval Techniques 12
- Human Pose and Action Recognition 11
- Video Analysis and Summarization 10
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 12
- Cancer Research top 5%
- MicroRNA in disease regulation 8
- Health Informatics top 5%
-
- Cholangiocarcinoma and Gallbladder Cancer Studies 17
-
- Gallbladder and Bile Duct Disorders 10
- Co-authors
- Xiujun CaiSarun JuengpanichJiasheng CaoAlexander G. HauptmannWin TopatanaBin ZhangBiing‐Hwang JuangGhassan AlRegib
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Mingyu Chen
160 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Human-Computer Interaction 265
- Computer Vision and Pattern Recognition 607
- Hepatology 221
- Cancer Research 401
- Health Informatics 34
Countries citing papers authored by Mingyu Chen
This map shows the geographic impact of Mingyu Chen'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 Mingyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Chen more than expected).
Fields of papers citing papers by Mingyu Chen
This network shows the impact of papers produced by Mingyu Chen. 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 Mingyu Chen. The network helps show where Mingyu Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingyu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 66 | |
| 8 | 2022 | 27 | |
| 9 | 2022 | 26 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 47 | |
| 13 | 2021 | 81 | |
| 14 | Targeting mutant p53 for cancer therapy: direct and indirect strategiesbreakdown → | 2021 | 343 |
| 15 | 2020 | 70 | |
| 16 | 2020 | 169 | |
| 17 | 2020 | 7 | |
| 18 | 2017 | 13 | |
| 19 | 2017 | 23 | |
| 20 | 2015 | 6 |
About Mingyu Chen
Mingyu Chen is a scholar working on Hepatology, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 177 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Human Pose and Action Recognition (11 papers), Video Analysis and Summarization (10 papers), Gallbladder and Bile Duct Disorders (10 papers), Hand Gesture Recognition Systems (8 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Human-Computer Interaction (265 citations), Computer Vision and Pattern Recognition (607 citations) and Hepatology (221 citations). Mingyu Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiujun Cai, Sarun Juengpanich, Jiasheng Cao, Alexander G. Hauptmann, Win Topatana, Bin Zhang, Biing‐Hwang Juang, Ghassan AlRegib, Jiahao Hu and Shijie Li. Their work appears in journals such as Liver Cancer, Frontiers in Oncology, Medicine, Journal of Nanobiotechnology and Small.
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.