Jun Jiang

895 citations
68 papers · 605 · h-index 15

Impact in

Papers in

Jun Jiang

52 papers receiving 571 citations

Peers

Jun Jiang
Comparison fields: 5 of 81
  • Computer Networks and Communications 234
  • Signal Processing 86
  • Computer Vision and Pattern Recognition 130
  • Artificial Intelligence 192
  • Information Systems 113
Replace Saiful Azad with:
Saiful Azad Malaysia
Sunitha Basodi United States
Debabrata Singh India
Junzhao Du China
Hamza Kheddar Algeria
M. Z. Rashad Egypt
Yuqi Chen China
Mete Özay Türkiye
S. Manimurugan Saudi Arabia
Jun Jiang relative to Saiful Azad Malaysia Saiful Azad's profile →
Citations per field
00.5×2×4×6×8×10×
Saiful Azad · 1×
Citations per year

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011113
2 201145
3 202242
4 202141
5 202237
6 202231
7 201026
8 201218
9 202317
10 202216
11 202115
12 201815
13 201015
14 202315
15 202314
16 202412
17 202212
18 202211
19 202110
20 20228

About Jun Jiang

Jun Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Cognitive Neuroscience, having authored 68 papers that have together received 605 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (9 papers), IoT and Edge/Fog Computing (6 papers), Advanced Neural Network Applications (5 papers), Software System Performance and Reliability (5 papers), Data Stream Mining Techniques (5 papers), Face and Expression Recognition (4 papers) and Color Science and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (234 citations), Signal Processing (86 citations), Computer Vision and Pattern Recognition (130 citations), Artificial Intelligence (192 citations) and Information Systems (113 citations). Jun Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fagui Liu, Lisa J. McQuay, Quan Tang, Yuhong Liu, Bin Wang, Weizheng Wang, C. L. Philip Chen, Jinwei Gu, Cuong Nguyen and Horace H. S. Ip. Their work appears in journals such as IEEE Transactions on Network and Service Management, Computer Communications, IEEE Transactions on Consumer Electronics, IEEE Journal of Biomedical and Health Informatics 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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