Zikun Deng

567 citations
22 papers · 369 · h-index 11

Impact in

Papers in

Zikun Deng

16 papers receiving 368 citations

Peers

Zikun Deng
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 247
  • Signal Processing 97
  • Transportation 55
  • Geography, Planning and Development 40
  • Ecological Modeling 13
Replace Dirk Hecker with:
Dirk Hecker Germany
Sathya Prasad United States
Haoruo Peng United States
Stefano Bocconi Netherlands
Haobing Liu China
Antonios Anastasopoulos United States
Bénédicte Bucher France
将尚 渡辺 China
Kaiqun Fu United States
Zikun Deng relative to Dirk Hecker Germany Dirk Hecker's profile →
Citations per field
00.5×6.7×
Dirk Hecker · 1×
Citations per year

Countries citing papers authored by Zikun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Zikun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201964
2 202050
3 202148
4 202236
5 201834
6 202133
7 202025
8 202117
9 202117
10 202212
11 202210
12 202310
13 20227
14 20193
15 20242
16 20241
17 20250
18 20250
19 20250
20 20250

About Zikun Deng

Zikun Deng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Geography, Planning and Development and Statistical and Nonlinear Physics, having authored 22 papers that have together received 369 indexed citations. Recurring topics across this work include Data Visualization and Analytics (20 papers), Data Management and Algorithms (6 papers), Time Series Analysis and Forecasting (6 papers), Geographic Information Systems Studies (4 papers), Complex Network Analysis Techniques (3 papers), Advanced Text Analysis Techniques (3 papers), Human Mobility and Location-Based Analysis (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Signal Processing (97 citations), Transportation (55 citations), Geography, Planning and Development (40 citations) and Ecological Modeling (13 citations). Zikun Deng has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yingcai Wu, Di Weng, Mingliang Xu, Yu Zheng, Jie Bao, Li Liu, Kun Xu, Ren Ping Liu, Hongguang Du and Zhibin Wang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Visual Informatics, Computer Graphics Forum, Organic Letters and IEEE Transactions on Intelligent Transportation Systems.

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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