Ping Deng

39 papers receiving 656 citations

Peers

Ping Deng
Comparison fields: 5 of 62
  • Ocean Engineering 220
  • Computational Mathematics 8
  • Computer Vision and Pattern Recognition 213
  • Computer Networks and Communications 232
  • Artificial Intelligence 225
Replace Nauman Shahid with:
Nauman Shahid Pakistan
Pedro A. Forero United States
Xiujuan Du China
Ketan Rajawat India
Yuan Wu China
Xiufang Shi China
Mihael Mohorčič Slovenia
Feibo Jiang China
Saleh Ibrahim Egypt
Seokjoo Shin South Korea
Ping Deng relative to Nauman Shahid Pakistan Nauman Shahid's profile →
Citations per field
00.5×2×3×4.5×
Nauman Shahid · 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 2008121
2 200261
3 202259
4 200858
5 202349
6 202238
7 200534
8 202333
9 202330
10 202128
11 201824
12 202222
13 200520
14 202110
15 202410
16 20249
17 20218
18 20028
19 20198
20 20237

About Ping Deng

Ping Deng is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Ocean Engineering, having authored 44 papers that have together received 687 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 (9 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 Ocean Engineering (220 citations), Computational Mathematics (8 citations), Computer Vision and Pattern Recognition (213 citations), Computer Networks and Communications (232 citations) and Artificial Intelligence (225 citations). Ping Deng has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Hongyang Chen, Tianrui Li, Hing Cheung So, Kaoru Sezaki, Dexian Wang, Hongjun Wang, Pingzhi Fan, Wei Huang, Shi‐Jinn Horng and Pengfei Zhang. Their work appears in journals such as Knowledge-Based Systems, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Computational Social Systems, Information Sciences 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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