Xingjun Wang

652 citations
83 papers · 403 · h-index 12

Impact in

Papers in

Xingjun Wang

76 papers receiving 388 citations

Peers

Xingjun Wang
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 116
  • Signal Processing 45
  • Cognitive Neuroscience 81
  • Endocrine and Autonomic Systems 26
  • Experimental and Cognitive Psychology 41
Replace Chien‐Chang Hsu with:
Chien‐Chang Hsu Taiwan
Janet Roveda United States
Georges Matar Canada
Saadullah Farooq Abbasi United Kingdom
Soon Ju Kang South Korea
Vera Goebel Norway
Meng Xiao China
N. Botros United States
Seral Özşen Türkiye
Mustafa Sert Türkiye
Xingjun Wang relative to Chien‐Chang Hsu Taiwan Chien‐Chang Hsu's profile →
Citations per field
00.5×4.3×
Chien‐Chang Hsu · 1×
Citations per year

Countries citing papers authored by Xingjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xingjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xingjun Wang, 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 Xingjun Wang Line = papers co-authored together Xingjun Wang 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 202045
2 200624
3 202218
4 202216
5 201516
6 202314
7 201913
8 202212
9 201411
10 201611
11 201911
12 201411
13 201810
14 201910
15 20229
16 20239
17 20239
18 20228
19 20208
20 20237

About Xingjun Wang

Xingjun Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Signal Processing and Artificial Intelligence, having authored 83 papers that have together received 403 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (14 papers), Peer-to-Peer Network Technologies (13 papers), Caching and Content Delivery (12 papers), Obstructive Sleep Apnea Research (11 papers), Video Coding and Compression Technologies (9 papers), Multimedia Communication and Technology (9 papers), Chaos-based Image/Signal Encryption (8 papers) and Image and Video Quality Assessment (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Signal Processing (45 citations), Cognitive Neuroscience (81 citations), Endocrine and Autonomic Systems (26 citations) and Experimental and Cognitive Psychology (41 citations). Xingjun Wang has collaborated with scholars based in China and United States. Frequent co-authors include Yanru Li, Demin Han, Liping Liang, Bo Zhang, Zhanwei Zhong, Qiuhua Wang, Zhao Yun, Wenming Yang, Wen Xu and Anqi Chen. Their work appears in journals such as Sleep And Breathing, IEEE Transactions on Broadcasting, Nature and Science of Sleep, IEEE Transactions on Services Computing and IEEE Transactions on Antennas and Propagation.

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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