Junjun Pan

1.1k citations
83 papers · 619 indexed · h-index 13

Impact in

Papers in

Junjun Pan

76 papers receiving 599 citations

Peers

Junjun Pan
Comparison fields: 5 of 108
  • Computer Graphics and Computer-Aided Design 71
  • Human-Computer Interaction 87
  • Computer Vision and Pattern Recognition 271
  • Health Informatics 9
  • Computational Mechanics 110
Replace Zhaoshuo Li with:
Zhaoshuo Li United States
Anna Hilsmann Germany
Gerd Reis Germany
Kai Lawonn Germany
Felix Ritter Germany
Yu Song Netherlands
Marta Kersten‐Oertel Canada
Yasuhito Suenaga Japan
Christophe Doignon France
Patrick Saalfeld Germany
Junjun Pan relative to Zhaoshuo Li United States Zhaoshuo Li's profile →
Citations per field
00.5×10×15×19×
Zhaoshuo Li · 1×
Citations per year

Countries citing papers authored by Junjun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201550
2 201949
3 202027
4 202224
5 201623
6 202021
7 201920
8 201519
9 200919
10 202218
11 202316
12 202213
13 202113
14 201912
15 202012
16 202312
17 202311
18 202411
19 201910
20 201910

About Junjun Pan

Junjun Pan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction and Control and Systems Engineering, having authored 83 papers that have together received 619 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (17 papers), Human Motion and Animation (17 papers), Surgical Simulation and Training (15 papers), Augmented Reality Applications (14 papers), Human Pose and Action Recognition (13 papers), Computer Graphics and Visualization Techniques (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (71 citations), Human-Computer Interaction (87 citations), Computer Vision and Pattern Recognition (271 citations), Health Informatics (9 citations) and Computational Mechanics (110 citations). Junjun Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong Qin, Aimin Hao, J. P. Dai, Ranyang Li, Xin Zhao, Yaqing Si, Jianjun Zhang, Xiaosong Yang, Bin Yan and Yang Shen. Their work appears in journals such as The Visual Computer, Computer Methods and Programs in Biomedicine, IEEE Transactions on Visualization and Computer Graphics, IEEE Geoscience and Remote Sensing Letters and Pattern Recognition.

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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