Runnan Chen

790 citations
17 papers · 491 · 1 hit paper · h-index 8

Impact in

Papers in

Runnan Chen

17 papers receiving 482 citations

Runnan Chen's Hit Papers

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection 2024 · 69 citations
690+1Years since publication204060

Peers

Runnan Chen
Comparison fields: 5 of 67
  • Oral Surgery 173
  • Computer Vision and Pattern Recognition 194
  • Orthodontics 29
  • Geology 24
  • General Dentistry 6
Replace Nenglun Chen with:
Nenglun Chen Hong Kong
Yeong-Gil Shin South Korea
Guodong Wei China
WooSang Shin South Korea
Thomas Albrecht Switzerland
Hongjian Shi China
Andrea Valsecchi Spain
Qing Yu China
Guillaume Champleboux France
Jaewoo Park South Korea
Runnan Chen relative to Nenglun Chen Hong Kong Nenglun Chen's profile →
Citations per field
00.5×2×3×4×
Nenglun Chen · 1×
Citations per year

Countries citing papers authored by Runnan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Runnan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020142
2
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection
Hit paper breakdown →
202469
3 202367
4 201965
5 202237
6 202130
7 202024
8 202415
9 20218
10 20248
11 20225
12 20205
13 20235
14 20244
15 20243
16 20253
17 20251

About Runnan Chen

Runnan Chen is a scholar working on Oral Surgery, Computer Vision and Pattern Recognition, Geology, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 491 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Dental Radiography and Imaging (4 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Neural Network Applications (3 papers), Medical Imaging and Analysis (3 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advanced Numerical Analysis Techniques (2 papers). The work is most often cited by research in Oral Surgery (173 citations), Computer Vision and Pattern Recognition (194 citations), Orthodontics (29 citations), Geology (24 citations) and General Dentistry (6 citations). Runnan Chen has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Wenping Wang, Zhiming Cui, Nenglun Chen, Guodong Wei, Yuexin Ma, Changjian Li, Dinggang G. Shen, Yuanfeng Zhou, Daniel C. Lee and Ruigang Yang. Their work appears in journals such as IEEE Transactions on Medical Imaging, The International Journal of Biochemistry & Cell Biology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and FlatChem.

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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