Mingfei Wu

497 citations
37 papers · 319 · h-index 11

Impact in

    • 3D Surveying and Cultural Heritage
    • Multiple Myeloma Research and Treatments

Papers in

    • Protein Degradation and Inhibitors 13
    • Ubiquitin and proteasome pathways 7
    • Peptidase Inhibition and Analysis 4

Mingfei Wu

34 papers receiving 315 citations

Peers

Mingfei Wu
Comparison fields: 5 of 95
  • Geology 28
  • Hematology 26
  • Computer Vision and Pattern Recognition 55
  • Oncology 53
  • Environmental Engineering 30
Replace Kyukwang Kim with:
Kyukwang Kim South Korea
Antoine Buetti‐Dinh Switzerland
Guohua Ji China
Kyung-Ok Kim South Korea
Hao Meng China
Penglong Li China
Periklis Papaioannou Greece
Jingcheng Chen China
Gongquan Li China
Mingfei Wu relative to Kyukwang Kim South Korea Kyukwang Kim's profile →
Citations per field
00.5×2×4×5.6×
Kyukwang Kim · 1×
Citations per year

Countries citing papers authored by Mingfei Wu

Since Specialization
Citations

This map shows the geographic impact of Mingfei Wu'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 Mingfei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingfei Wu more than expected).

Fields of papers citing papers by Mingfei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingfei Wu. 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 Mingfei Wu. The network helps show where Mingfei Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingfei Wu, 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 Mingfei Wu Line = papers co-authored together Mingfei Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202235
2 202235
3 202227
4 202424
5 201622
6 202118
7 202315
8 202314
9 202412
10 202411
11 202210
12 202310
13 20249
14 20218
15 20147
16 20176
17 20216
18 20246
19 20216
20 20226

About Mingfei Wu

Mingfei Wu is a scholar working on Molecular Biology, Oncology, Computer Vision and Pattern Recognition, Immunology and Geochemistry and Petrology, having authored 37 papers that have together received 319 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (13 papers), Ubiquitin and proteasome pathways (7 papers), Peptidase Inhibition and Analysis (4 papers), Multiple Myeloma Research and Treatments (4 papers), Geological Modeling and Analysis (4 papers), Advanced Vision and Imaging (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Geology (28 citations), Hematology (26 citations), Computer Vision and Pattern Recognition (55 citations), Oncology (53 citations) and Environmental Engineering (30 citations). Mingfei Wu has collaborated with scholars based in China, Macao and Czechia. Frequent co-authors include Chen Li, Xiaowu Dong, Jinxin Che, Biao Yang, Zhengfa Liang, Shenxin Zeng, Wei Chen, Hao Li, Wenhai Huang and Yusong Tan. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Journal of Central South University, IEEE Robotics and Automation Letters and International Journal of Remote Sensing.

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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