Cheng Ding

27 papers receiving 474 citations

Peers

Cheng Ding
Comparison fields: 5 of 101
  • Sensory Systems 200
  • Nutrition and Dietetics 204
  • Cellular and Molecular Neuroscience 113
  • General Social Sciences 14
  • Endocrine and Autonomic Systems 21
Replace Michael S. Singer with:
Michael S. Singer United States
Wenqian Lin China
Keiji Miura Japan
Yiling Yang China
Daniel Chicharro Italy
Jiaao Lu United States
Franklin F. Offner United States
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Cheng Ding relative to Michael S. Singer United States Michael S. Singer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cheng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019180
2 201194
3 200884
4 202119
5 202213
6 202112
7 201610
8 201010
9 20179
10 20218
11 20248
12 19946
13 20225
14
A Delay and Load-balancing based Hierarchical Route Planning Method for Transmission Line IoT Sensing and Monitoring applications
20194
15 20153
16 20153
17 20162
18 20202
19 20172
20 20162

About Cheng Ding

Cheng Ding is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 484 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (4 papers), Full-Duplex Wireless Communications (3 papers), Air Quality Monitoring and Forecasting (3 papers), Computational and Text Analysis Methods (3 papers), Topic Modeling (3 papers), Advanced Text Analysis Techniques (3 papers), Olfactory and Sensory Function Studies (2 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Sensory Systems (200 citations), Nutrition and Dietetics (204 citations), Cellular and Molecular Neuroscience (113 citations), General Social Sciences (14 citations) and Endocrine and Autonomic Systems (21 citations). Cheng Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hao Jin, Mingyu Ye, Sean O’Keeffe, Jin Zhang, Charles S. Zuker, Minmin Luo, Jie Tan, Zhiqiang Yan, Yao Lu and Jiwen Hu. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Wireless Networks, Cell, Journal of Communications and Networks and Multimedia Tools and Applications.

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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