Haibing Ren

1.5k citations
29 papers · 474 · h-index 12

Impact in

Papers in

Haibing Ren

28 papers receiving 461 citations

Peers

Haibing Ren
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 380
  • Human-Computer Interaction 31
  • Artificial Intelligence 119
  • Media Technology 24
  • Signal Processing 26
Replace Jiemin Fang with:
Jiemin Fang China
Miguel García-Silvente Spain
Mengshi Qi China
Jiarui Xu United States
Andrei Bursuc France
Alessio Mecca Italy
Haibing Ren relative to Jiemin Fang China Jiemin Fang's profile →
Citations per field
00.5×4.5×
Jiemin Fang · 1×
Citations per year

Countries citing papers authored by Haibing Ren

Since Specialization
Citations

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

Fields of papers citing papers by Haibing Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021113
2 202248
3 202237
4
Twins: Revisiting Spatial Attention Design in Vision Transformers.
202136
5 200332
6 200627
7 202226
8 200323
9 201219
10 201215
11 202315
12 200411
13 201910
14 20239
15 20238
16 20136
17 20185
18 20165
19 20144
20 20234

About Haibing Ren

Haibing Ren is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 474 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers), Robotics and Sensor-Based Localization (6 papers), Hand Gesture Recognition Systems (5 papers), Medical Image Segmentation Techniques (5 papers), Gait Recognition and Analysis (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (380 citations), Human-Computer Interaction (31 citations), Artificial Intelligence (119 citations), Media Technology (24 citations) and Signal Processing (26 citations). Haibing Ren has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Guangyou Xu, Yao Hu, Song Bai, Xiaolong Jiang, Haochen Wang, Si Liu, Seok-Cheol Kee, Jiali Zhao, Haitao Wang and Chen Gao. Their work appears in journals such as Frontiers in Oncology, Cancer Management and Research, Neurocomputing, Machine Vision and Applications and IEEE Robotics and Automation Letters.

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