Lingdi Ping

1.1k citations
53 papers · 573 · h-index 12

Impact in

Papers in

Lingdi Ping

47 papers receiving 511 citations

Peers

Lingdi Ping
Comparison fields: 5 of 54
  • Information Systems 301
  • Computer Networks and Communications 283
  • Computer Vision and Pattern Recognition 139
  • Hardware and Architecture 32
  • Artificial Intelligence 139
Replace Xuezeng Pan with:
Xuezeng Pan China
Nien‐Lin Hsueh Taiwan
Qingfeng Cheng China
Haruo Yokota Japan
Mario Fanelli Italy
Mohsine Eleuldj Morocco
Ingmar Baumgart Germany
Im-Yeong Lee South Korea
Alexander Wiesmaier Germany
Jay Kreps United States
Lingdi Ping relative to Xuezeng Pan China Xuezeng Pan's profile →
Citations per field
00.5×5.7×
Xuezeng Pan · 1×
Citations per year

Countries citing papers authored by Lingdi Ping

Since Specialization
Citations

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

Fields of papers citing papers by Lingdi Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010185
2 200950
3 201144
4 201032
5 201124
6 201024
7 200924
8 200921
9
Study on the P2P Cloud Storage System
201115
10 200915
11
Research on Trust Management Strategies in Cloud Computing Environment
201213
12 200912
13 201011
14 200710
15 20087
16 20106
17 20096
18 20106
19 20115
20 20085

About Lingdi Ping

Lingdi Ping is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 53 papers that have together received 573 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (11 papers), Digital Media Forensic Detection (10 papers), Advanced Authentication Protocols Security (7 papers), Chaos-based Image/Signal Encryption (7 papers), Cloud Computing and Resource Management (6 papers), Cloud Data Security Solutions (6 papers), Network Packet Processing and Optimization (5 papers) and User Authentication and Security Systems (5 papers). The work is most often cited by research in Information Systems (301 citations), Computer Networks and Communications (283 citations), Computer Vision and Pattern Recognition (139 citations), Hardware and Architecture (32 citations) and Artificial Intelligence (139 citations). Lingdi Ping has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Xuezeng Pan, Jianqing Fu, Jiyi Wu, Ya Wang, Xiaoping Ge, Rong Fan, Wenjuan Li, Daojing He, Qifei Zhang and Zhuo Li. Their work appears in journals such as Journal of Multimedia, Journal of Zhejiang University. Science A, Pattern Recognition, Dianzi xuebao and AEU - International Journal of Electronics and Communications.

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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