Runhe Qiu

448 citations
41 papers · 351 · h-index 9

Impact in

Papers in

Runhe Qiu

39 papers receiving 337 citations

Peers

Runhe Qiu
Comparison fields: 5 of 47
  • Computer Networks and Communications 174
  • Statistical and Nonlinear Physics 89
  • Artificial Intelligence 118
  • Electrical and Electronic Engineering 122
  • Information Systems 40
Replace Damon Mosk-Aoyama with:
Damon Mosk-Aoyama United States
Yolanda Tsang United States
K. Erciyes Türkiye
Yao Zhao United States
Panagiotis Rizomiliotis Greece
Prateek Yadav India
Dominique LaSalle United States
Paul Tune Australia
Runhe Qiu relative to Damon Mosk-Aoyama United States Damon Mosk-Aoyama's profile →
Citations per field
00.5×9.3×
Damon Mosk-Aoyama · 1×
Citations per year

Countries citing papers authored by Runhe Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Runhe Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008114
2 202149
3 201936
4 202013
5 202113
6 202113
7 201813
8 20099
9 20219
10 20238
11 20228
12 20207
13 20234
14 20164
15 20204
16 20244
17 20094
18 20103
19 20203
20 20193

About Runhe Qiu

Runhe Qiu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 41 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (12 papers), Cooperative Communication and Network Coding (12 papers), Advanced Graph Neural Networks (7 papers), Advanced Wireless Communication Technologies (7 papers), Full-Duplex Wireless Communications (6 papers), Topic Modeling (5 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers) and Wireless Communication Security Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (174 citations), Statistical and Nonlinear Physics (89 citations), Artificial Intelligence (118 citations), Electrical and Electronic Engineering (122 citations) and Information Systems (40 citations). Runhe Qiu has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Xueqin Jiang, Jian‐an Fang, Min Xia, Yang Tang, Qingying Miao, Yuan Ping, Hui Ma, Julian Cheng, Enjian Bai and Yun Cao. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology, Complex & Intelligent Systems, Knowledge-Based Systems and EURASIP Journal on Wireless Communications and 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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