Fei Ding

1.0k citations
81 papers · 700 · h-index 14

Impact in

Papers in

Fei Ding

73 papers receiving 664 citations

Peers

Fei Ding
Comparison fields: 5 of 106
  • Computer Networks and Communications 300
  • Statistical and Nonlinear Physics 93
  • Electrical and Electronic Engineering 291
  • Computer Vision and Pattern Recognition 71
  • Communication 20
Replace Erwu Liu with:
Erwu Liu China
Junfu Chen China
Song Yang China
Marios Lestas Cyprus
Xiaohui Li China
Zhuangkun Wei United Kingdom
Sudip Roy India
Faraz Ahmed United States
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Citations per field
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Citations per year

Countries citing papers authored by Fei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019145
2 200871
3 200838
4 200936
5 201928
6 201627
7 201426
8 200925
9 201921
10 200920
11 200219
12 201015
13 201713
14 201513
15 201010
16 20159
17 20178
18
Design and Implementation of Greenhouse Wireless Data Acquisition System Based on CC2420
20067
19 20167
20 20107

About Fei Ding

Fei Ding is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 81 papers that have together received 700 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (9 papers), Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (9 papers), Advanced MIMO Systems Optimization (8 papers), IoT-based Smart Home Systems (6 papers), Sparse and Compressive Sensing Techniques (5 papers), Cooperative Communication and Network Coding (5 papers) and Evolutionary Game Theory and Cooperation (5 papers). The work is most often cited by research in Computer Networks and Communications (300 citations), Statistical and Nonlinear Physics (93 citations), Electrical and Electronic Engineering (291 citations), Computer Vision and Pattern Recognition (71 citations) and Communication (20 citations). Fei Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dengyin Zhang, Guangming Song, Aiguo Song, Ruoyu Su, Yun Liu, Fan Jiang, Weijuan Zhang, Zijun Gong, Aiguo Song and Ziyang Zhu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Electronics, International Journal of Modern Physics C, IEEE Access and Science China Information Sciences.

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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