Peiwei Li

80 papers receiving 2.9k citations

Peiwei Li's Hit Papers

A lightweight improved YOLOv5s model and its deployment for detecting pitaya fruits in daytime and nighttime light-supplement environments 2024 · 102 citations
1020+1+3Years since publication200400600

Peers

Peiwei Li
Comparison fields: 5 of 131
  • Computer Vision and Pattern Recognition 462
  • Cancer Research 144
  • Automotive Engineering 83
  • Oncology 175
  • Gastroenterology 40
Replace Chen Qiu with:
Chen Qiu China
Kun Liu China
Shu Wang China
Zhao Chen China
Xiaobing Wang China
Xiang Li China
Achyut K Bhattacharyya United States
Zongfang Li China
Xiao Li China
Huayu Yang China
Peiwei Li relative to Chen Qiu China Chen Qiu's profile →
Citations per field
00.5×10×20×27.7×
Chen Qiu · 1×
Citations per year

Countries citing papers authored by Peiwei Li

Since Specialization
Citations

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

Fields of papers citing papers by Peiwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Hit paper breakdown →
2021740
2 2018244
3 2017187
4 2014124
5
A lightweight improved YOLOv5s model and its deployment for detecting pitaya fruits in daytime and nighttime light-supplement environments
Hit paper breakdown →
2024102
6 2016101
7 201499
8 201289
9 201881
10 201678
11 201364
12 201860
13 201860
14 201558
15 201653
16 201750
17 201950
18 201449
19 201447
20 201246

About Peiwei Li

Peiwei Li is a scholar working on Cancer Research, Molecular Biology, Biochemistry, Complementary and alternative medicine and Social Psychology, having authored 81 papers that have together received 3.0k indexed citations. Recurring topics across this work include Qualitative Research Methods and Ethics (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Circular RNAs in diseases (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), TGF-β signaling in diseases (2 papers), Lipid metabolism and biosynthesis (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (462 citations), Cancer Research (144 citations), Automotive Engineering (83 citations), Oncology (175 citations) and Gastroenterology (40 citations). Peiwei Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiajun Deng, Shaoshuai Shi, Yanyong Zhang, Wengang Zhou, HouQiang Li, Jun Jie Yang, Honghe Zhang, Yihua Wu, Jinming Xu and Dajing Xia. Their work appears in journals such as International Journal of Cancer, Clinical Nutrition, Medicine, International Journal of Molecular Sciences and Ecotoxicology and Environmental Safety.

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.

Explore authors with similar magnitude of impact