Runhe Qiu

453 citations
42 papers · 346 · h-index 9

Impact in

Papers in

Runhe Qiu

40 papers receiving 333 citations

Peers

Runhe Qiu
Comparison fields: 5 of 48
  • Computer Networks and Communications 172
  • Statistical and Nonlinear Physics 90
  • Artificial Intelligence 119
  • Electrical and Electronic Engineering 120
  • Computer Vision and Pattern Recognition 35
Replace Damon Mosk-Aoyama with:
Damon Mosk-Aoyama United States
Yolanda Tsang United States
Yao Zhao United States
Panagiotis Rizomiliotis Greece
Ding United States
Alex Dytso United States
Dominique LaSalle United States
Prateek Yadav India
Runhe Qiu relative to Damon Mosk-Aoyama United States Damon Mosk-Aoyama's profile →
Citations per field
00.5×7.5×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008114
2 202145
3 201935
4 202113
5 202012
6 201812
7 202112
8 20218
9 20098
10 20118
11 20227
12 20207
13 20236
14 20234
15 20204
16 20164
17 20094
18 20244
19 20153
20 20203

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 42 papers that have together received 346 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (12 papers), Advanced MIMO Systems Optimization (12 papers), Advanced Wireless Communication Technologies (7 papers), Advanced Graph Neural Networks (7 papers), Full-Duplex Wireless Communications (6 papers), Cognitive Radio Networks and Spectrum Sensing (5 papers), Chaos-based Image/Signal Encryption (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Computer Networks and Communications (172 citations), Statistical and Nonlinear Physics (90 citations), Artificial Intelligence (119 citations), Electrical and Electronic Engineering (120 citations) and Computer Vision and Pattern Recognition (35 citations). Runhe Qiu has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Xueqin Jiang, Qingying Miao, Jian‐an Fang, Min Xia, Yang Tang, Yuan Ping, Hui Ma, Yun Cao, Julian Cheng and Enjian Bai. Their work appears in journals such as IEEE Access, Complex & Intelligent Systems, Knowledge-Based Systems, IEEE Transactions on Vehicular Technology and Engineering Applications of Artificial Intelligence.

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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