Meng Lou

1.5k citations
34 papers · 833 · 1 hit paper · h-index 14

Impact in

Papers in

Meng Lou

32 papers receiving 826 citations

Meng Lou's Hit Papers

TransXNet: Learning Both Global and Local Dynamics With a Dual Dynamic Token Mixer for Visual Recognition 2025 · 22 citations
220Years since publication5101520

Peers

Meng Lou
Comparison fields: 5 of 109
  • Immunology 260
  • Computer Vision and Pattern Recognition 198
  • Radiology, Nuclear Medicine and Imaging 173
  • Infectious Diseases 129
  • Artificial Intelligence 227
Replace Yuqiang Chen with:
Yuqiang Chen China
Cesare Valenti Italy
You Zhang United States
Shujun Wang China
Nicola Pezzotti Netherlands
Yoshikazu Uchiyama Japan
Takeshi Masuda Japan
Daniel Jiménez‐Carretero Spain
Paul Rosenthal Germany
Meng Lou relative to Yuqiang Chen China Yuqiang Chen's profile →
Citations per field
00.5×5.2×
Yuqiang Chen · 1×
Citations per year

Countries citing papers authored by Meng Lou

Since Specialization
Citations

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

Fields of papers citing papers by Meng Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021132
2 202198
3 202196
4 202080
5 201950
6 202147
7 202343
8 202142
9 202233
10 202125
11
TransXNet: Learning Both Global and Local Dynamics With a Dual Dynamic Token Mixer for Visual Recognition
Hit paper breakdown →
202522
12 202320
13 202118
14 202117
15 202513
16 202112
17 202011
18 202110
19 20229
20 20218

About Meng Lou

Meng Lou is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Immunology and Infectious Diseases, having authored 34 papers that have together received 833 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), interferon and immune responses (4 papers), Viral Infections and Vectors (4 papers), Medical Imaging and Analysis (4 papers), Immune Cell Function and Interaction (3 papers), Infrared Thermography in Medicine (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Immunology (260 citations), Computer Vision and Pattern Recognition (198 citations), Radiology, Nuclear Medicine and Imaging (173 citations), Infectious Diseases (129 citations) and Artificial Intelligence (227 citations). Meng Lou has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yunliang Qi, Yide Ma, Ronald N. Germain, Yiming Wang, Wenhao Sun, Zhen Yang, Jing Lian, Andrea J. Radtke, Yao Li and Yajuan Rui. Their work appears in journals such as Biomedical Signal Processing and Control, Signal Transduction and Targeted Therapy, Multimedia Tools and Applications, Computers in Biology and Medicine and Medical Physics.

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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