Nan Ding

555 citations
40 papers · 387 · h-index 12

Impact in

Papers in

Nan Ding

35 papers receiving 377 citations

Peers

Nan Ding
Comparison fields: 5 of 54
  • Computer Networks and Communications 154
  • Signal Processing 65
  • Transportation 39
  • Automotive Engineering 68
  • Control and Systems Engineering 126
Replace Muhammad Sameer Sheikh with:
Muhammad Sameer Sheikh China
Omid Avatefipour United States
Panita Pongpaibool Thailand
Yukun Fang China
Renee Ka Yin Chin Malaysia
Bartłomiej Płaczek Poland
Aidin Ferdowsi United States
Maan E. El Najjar France
Nianbo Liu China
Nan Ding relative to Muhammad Sameer Sheikh China Muhammad Sameer Sheikh's profile →
Citations per field
00.5×6.8×
Muhammad Sameer Sheikh · 1×
Citations per year

Countries citing papers authored by Nan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Nan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019107
2 201939
3 201838
4 201625
5 200817
6 201416
7 201615
8 201214
9 201813
10 201412
11 201912
12 201512
13 201410
14 20089
15 20196
16 20186
17 20175
18 20244
19 20203
20 20093

About Nan Ding

Nan Ding is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Building and Construction, having authored 40 papers that have together received 387 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (14 papers), Traffic control and management (14 papers), Autonomous Vehicle Technology and Safety (11 papers), Traffic Prediction and Management Techniques (11 papers), Anomaly Detection Techniques and Applications (6 papers), Mobile Ad Hoc Networks (4 papers), Transportation Planning and Optimization (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (154 citations), Signal Processing (65 citations), Transportation (39 citations), Automotive Engineering (68 citations) and Control and Systems Engineering (126 citations). Nan Ding has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Guozhen Tan, Yanhua Ma, Fuxin Zhang, Chao Yu, Di Wu, Weiguo Xia, Bingcai Chen, Xu Li, Guozhen Tan and Qing He. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Sensors, IEEE Transactions on Industrial Informatics and IEEE Transactions on Vehicular 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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