Yunjun Gao

286 papers receiving 3.8k citations

Peers

Yunjun Gao
Comparison fields: 5 of 120
  • Signal Processing 1.9k
  • Geography, Planning and Development 551
  • Transportation 342
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 1.4k
Replace Anthony K. H. Tung with:
Anthony K. H. Tung Singapore
Man Lung Yiu Hong Kong
Jianliang Xu Hong Kong
Shuo Shang China
Baihua Zheng Singapore
Ada Wai-Chee Fu Hong Kong
Marios Hadjieleftheriou United States
Michail Vlachos United States
Vassilis J. Tsotras United States
Zhifeng Bao Australia
Yunjun Gao relative to Anthony K. H. Tung Singapore Anthony K. H. Tung's profile →
Citations per field
00.5×5.7×
Anthony K. H. Tung · 1×
Citations per year

Countries citing papers authored by Yunjun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yunjun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 308 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021116
2 2010109
3 201878
4 202272
5 202065
6 202264
7 201561
8 201455
9 202055
10 202254
11 202250
12 201449
13 201848
14 201848
15 201548
16 201747
17 202247
18 200945
19 201543
20 201943

About Yunjun Gao

Yunjun Gao is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 308 papers that have together received 3.9k indexed citations. Recurring topics across this work include Data Management and Algorithms (166 papers), Advanced Database Systems and Queries (66 papers), Geographic Information Systems Studies (50 papers), Automated Road and Building Extraction (47 papers), Advanced Image and Video Retrieval Techniques (41 papers), Complex Network Analysis Techniques (28 papers), Human Mobility and Location-Based Analysis (27 papers) and Advanced Graph Neural Networks (23 papers). The work is most often cited by research in Signal Processing (1.9k citations), Geography, Planning and Development (551 citations), Transportation (342 citations), Computer Networks and Communications (1.1k citations) and Artificial Intelligence (1.4k citations). Yunjun Gao has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Lu Chen, Baihua Zheng, Gang Chen, Xiaoye Miao, Christian S. Jensen, Qing Li, Ziquan Fang, Gencai Chen, Yuntao Du and Jianwei Yin. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, The VLDB Journal, Information Sciences and World Wide Web.

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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