Kai Jiang

1.6k citations
73 papers · 1.1k · 2 hit papers · h-index 19

Impact in

Papers in

Kai Jiang

65 papers receiving 1.1k citations

Kai Jiang's Hit Papers

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet-of-Vehicles 2023 · 100 citations
1000+1+3Years since publication50100150200

Peers

Kai Jiang
Comparison fields: 5 of 113
  • Computer Networks and Communications 458
  • Information Systems 162
  • Computer Science Applications 32
  • Electrical and Electronic Engineering 329
  • Mechanical Engineering 209
Replace Hong Xie with:
Hong Xie China
Sharad Sharma India
Zonghang Li China
Shichao Zhu China
Yafei Li China
Shuai Wang China
Xiaojun Ye China
Xianhao Chen China
Yuanfang Chen China
Qimei Chen China
Kai Jiang relative to Hong Xie China Hong Xie's profile →
Citations per field
00.5×1.5×2.4×
Hong Xie · 1×
Citations per year

Countries citing papers authored by Kai Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing
Hit paper breakdown →
2021235
2
Distributed Deep Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet-of-Vehicles
Hit paper breakdown →
2023100
3 199688
4 202051
5 202250
6 202148
7 202237
8 202031
9 202128
10 201728
11 202228
12 202325
13 202023
14 201822
15 202122
16 201722
17 202121
18 202419
19 201918
20 202418

About Kai Jiang

Kai Jiang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Computer Networks and Communications, Information Systems and Biomedical Engineering, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Machining and Optimization Techniques (15 papers), IoT and Edge/Fog Computing (12 papers), Advanced machining processes and optimization (11 papers), Advanced Surface Polishing Techniques (10 papers), Caching and Content Delivery (8 papers), Blockchain Technology Applications and Security (6 papers), Belt Conveyor Systems Engineering (6 papers) and IoT Networks and Protocols (5 papers). The work is most often cited by research in Computer Networks and Communications (458 citations), Information Systems (162 citations), Computer Science Applications (32 citations), Electrical and Electronic Engineering (329 citations) and Mechanical Engineering (209 citations). Kai Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Huan Zhou, Victor C. M. Leung, Xiuhua Li, Xuxun Liu, Jie Wu, Shibo He, Geyong Min, Mengchao Zhang, Xiaoyu Wu and Meixuan Li. Their work appears in journals such as IEEE Network, IEEE Internet of Things Journal, Journal of Cleaner Production, Ceramics International and The International Journal of Advanced Manufacturing Technology.

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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