Xiaocong Jin

529 citations
17 papers · 387 · h-index 12

Impact in

Papers in

Xiaocong Jin

16 papers receiving 380 citations

Peers

Xiaocong Jin
Comparison fields: 5 of 35
  • Computer Science Applications 101
  • Signal Processing 81
  • Computer Networks and Communications 156
  • Artificial Intelligence 186
  • Transportation 35
Replace Igor Bilogrevic with:
Igor Bilogrevic Switzerland
Ana Nika United States
Tejas Kulkarni United States
Yuli Deng United States
Sashank Narain United States
Boran Yang China
Börje F. Karlsson China
Lichuan Ma China
Claudio Martella Netherlands
Xiaocong Jin relative to Igor Bilogrevic Switzerland Igor Bilogrevic's profile →
Citations per field
00.5×2.7×
Igor Bilogrevic · 1×
Citations per year

Countries citing papers authored by Xiaocong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Xiaocong Jin, 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 Xiaocong Jin Line = papers co-authored together Xiaocong Jin links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201657
2 201846
3 201645
4 201641
5 201438
6 201529
7 201726
8 201724
9 201822
10 201521
11 201519
12 201612
13 20243
14 20092
15 20111
16 20111
17 20110

About Xiaocong Jin

Xiaocong Jin is a scholar working on Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (5 papers), Advanced Vision and Imaging (5 papers), Video Coding and Compression Technologies (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), User Authentication and Security Systems (4 papers), Image and Video Quality Assessment (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Computer Science Applications (101 citations), Signal Processing (81 citations), Computer Networks and Communications (156 citations), Artificial Intelligence (186 citations) and Transportation (35 citations). Xiaocong Jin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yanchao Zhang, Jingchao Sun, Rui Zhang, Yimin Chen, Tao Li, Rui Zhang, Chi Zhang, Jinxue Zhang, Yimin Chen and Rui Zhang. Their work appears in journals such as IEEE Transactions on Wireless Communications, Multimedia Tools and Applications, IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking and IEICE Transactions on Information and 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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