Jiawen Kang

19.6k citations
366 papers · 12.8k indexed · 28 hit papers · h-index 52

Jiawen Kang

329 papers receiving 12.5k citations

Hit Papers

Aerial ...19201720262020202350100150

Peers

Jiawen Kang
Comparison fields: 5 of 145
  • Computer Networks and Communications 4.9k
  • Information Systems 4.6k
  • Artificial Intelligence 4.7k
  • Computer Science Applications 702
  • Human-Computer Interaction 478
Replace Zehui Xiong with:
Zehui Xiong Singapore
Tom H. Luan China
Mohammad S. Obaidat United States
Mohammad Mehedi Hassan Saudi Arabia
Tadayoshi Kohno United States
Salil S. Kanhere Australia
Sherali Zeadally United States
Mianxiong Dong Japan
Vinay Chamola India
Xu Chen China
Jiawen Kang relative to Zehui Xiong Singapore Zehui Xiong's profile →
Citations per field
00.5×10×20×30×42×
Zehui Xiong · 1×
Citations per year

Countries citing papers authored by Jiawen Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jiawen Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20253
5 20257
6 20251
7 20252
8 20244
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11 202410
12
A Model Value Transfer Incentive Mechanism for Federated Learning With Smart Contracts in AIoTbreakdown →
202444
13 202319
14 202339
15 202350
16 202357
17 20238
18 2022100
19
Fusing Blockchain and AI With Metaverse: A Surveybreakdown →
2022347
20 20213

About Jiawen Kang

Jiawen Kang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 366 papers that have together received 12.8k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (86 papers), IoT and Edge/Fog Computing (69 papers), Blockchain Technology Applications and Security (69 papers), UAV Applications and Optimization (32 papers), Vehicular Ad Hoc Networks (VANETs) (29 papers), Advanced Wireless Communication Technologies (23 papers), Transportation and Mobility Innovations (22 papers) and Mobile Crowdsensing and Crowdsourcing (19 papers). The work is most often cited by research in Computer Networks and Communications (4.9k citations), Information Systems (4.6k citations) and Artificial Intelligence (4.7k citations). Jiawen Kang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Dusit Niyato, Zehui Xiong, Rong Yu, Yan Zhang, Xumin Huang, Hongyang Du, Shengli Xie, Dong In Kim, Sabita Maharjan and Dongdong Ye. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

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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