Yaohui Jin

2.5k citations
169 papers · 1.6k · h-index 19

Impact in

Papers in

Yaohui Jin

147 papers receiving 1.5k citations

Peers

Yaohui Jin
Comparison fields: 5 of 102
  • Computer Networks and Communications 569
  • Transportation 115
  • Artificial Intelligence 530
  • Signal Processing 144
  • Information Systems 235
Replace Xiaoxian Yang with:
Xiaoxian Yang China
Tian Zhao United States
Xiaolong Xu China
Qingguo Zhou China
Huandong Wang China
Wen-Chih Peng Taiwan
Muhammad Usman Shahid Khan Pakistan
Chang Xu China
Benxiong Huang China
Yaohui Jin relative to Xiaoxian Yang China Xiaoxian Yang's profile →
Citations per field
00.5×10×13.3×
Xiaoxian Yang · 1×
Citations per year

Countries citing papers authored by Yaohui Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yaohui Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020151
2 201584
3 201564
4 201861
5 201056
6 201950
7 201744
8
ReSurf: Reconstructing web-surfing activity from network traffic
201343
9 200743
10 201936
11 201834
12 201933
13 200832
14 200229
15 202326
16 201624
17 200722
18 201121
19 202219
20 201917

About Yaohui Jin

Yaohui Jin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Transportation, having authored 169 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (55 papers), Optical Network Technologies (40 papers), Advanced Photonic Communication Systems (29 papers), Software-Defined Networks and 5G (29 papers), Interconnection Networks and Systems (20 papers), Cloud Computing and Resource Management (19 papers), Topic Modeling (18 papers) and Network Traffic and Congestion Control (18 papers). The work is most often cited by research in Computer Networks and Communications (569 citations), Transportation (115 citations), Artificial Intelligence (530 citations), Signal Processing (144 citations) and Information Systems (235 citations). Yaohui Jin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Weisheng Hu, Long-yuan Li, Junchi Yan, Weiqiang Sun, Liqiang Xiao, Honglun Zhang, Yongkun Wang, Haiyang Wang, Wenqing Chen and Hao He. Their work appears in journals such as Journal of Lightwave Technology, IEEE Communications Magazine, Photonic Network Communications, IEEE Photonics Technology Letters and Journal of Optical Networking.

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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