Ping Deng

39 papers receiving 595 citations

Peers

Ping Deng
Comparison fields: 5 of 59
  • Computational Mathematics 8
  • Ocean Engineering 197
  • Computer Vision and Pattern Recognition 203
  • Computer Networks and Communications 203
  • Artificial Intelligence 211
Replace Pedro A. Forero with:
Pedro A. Forero United States
Zhulin An China
Ketan Rajawat India
Yuan Wu China
Xiufang Shi China
Xin Zuo China
Saleh Ibrahim Saudi Arabia
Feibo Jiang China
Ali Barati Iran
Ping Deng relative to Pedro A. Forero United States Pedro A. Forero's profile →
Citations per field
00.5×11.3×
Pedro A. Forero · 1×
Citations per year

Countries citing papers authored by Ping Deng

Since Specialization
Citations

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

Fields of papers citing papers by Ping Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008111
2 200260
3 200858
4 202256
5 202346
6 202236
7 202333
8 200529
9 202327
10 202126
11 202221
12 201821
13 202110
14 20249
15 20249
16 20218
17 20198
18 20237
19 20027
20 20126

About Ping Deng

Ping Deng is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Ocean Engineering and Computer Networks and Communications, having authored 44 papers that have together received 627 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (16 papers), Face and Expression Recognition (14 papers), Underwater Vehicles and Communication Systems (10 papers), Advanced Clustering Algorithms Research (9 papers), Energy Efficient Wireless Sensor Networks (8 papers), Advanced Computing and Algorithms (6 papers), Image Retrieval and Classification Techniques (5 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Computational Mathematics (8 citations), Ocean Engineering (197 citations), Computer Vision and Pattern Recognition (203 citations), Computer Networks and Communications (203 citations) and Artificial Intelligence (211 citations). Ping Deng has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Tianrui Li, Hongyang Chen, Hing Cheung So, Kaoru Sezaki, Dexian Wang, Pingzhi Fan, Hongjun Wang, Wei Huang, Shi‐Jinn Horng and Pengfei Zhang. Their work appears in journals such as Knowledge-Based Systems, Information Sciences, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Computational Social Systems and Applied 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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