Pingping Dong

732 citations
47 papers · 476 · h-index 12

Impact in

    • Network Traffic and Congestion Control
    • Software-Defined Networks and 5G
    • Network Security and Intrusion Detection
    • IoT and Edge/Fog Computing
    • Caching and Content Delivery
    • Wireless Networks and Protocols

Papers in

Pingping Dong

40 papers receiving 469 citations

Peers

Pingping Dong
Comparison fields: 5 of 63
  • Computer Networks and Communications 305
  • Transportation 33
  • Building and Construction 46
  • Information Systems 68
  • Artificial Intelligence 91
Replace Konglin Zhu with:
Konglin Zhu China
Vijay Kumar Chaurasiya India
Faqir Zarrar Yousaf Germany
Yassine Hadjadj‐Aoul France
Dmitri I. Arkhipov United States
Khaled Rabieh United States
Samia Bouzefrane France
Madhuri Bhavsar India
Stephen Smaldone United States
François Spies France
Pingping Dong relative to Konglin Zhu China Konglin Zhu's profile →
Citations per field
00.5×1.6×
Konglin Zhu · 1×
Citations per year

Countries citing papers authored by Pingping Dong

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201987
2 201642
3 201636
4 202029
5 201826
6 202226
7 202123
8 201922
9 202121
10 202317
11 201317
12 202012
13 202311
14 20229
15 20158
16 20198
17 20227
18 20197
19 20226
20 20236

About Pingping Dong

Pingping Dong is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 476 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (18 papers), Network Traffic and Congestion Control (16 papers), Advanced Wireless Network Optimization (8 papers), Cloud Computing and Resource Management (8 papers), IoT and Edge/Fog Computing (6 papers), Wireless Networks and Protocols (6 papers), Advanced Optical Network Technologies (5 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (305 citations), Transportation (33 citations), Building and Construction (46 citations), Information Systems (68 citations) and Artificial Intelligence (91 citations). Pingping Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Naixue Xiong, Wensheng Tang, Lianming Zhang, Kai Gao, Jianxin Wang, Ronghua Du, Jiawei Huang, Haodong Wang, Xiaowei Xie and Geyong Min. Their work appears in journals such as Electronics, IEEE Access, Information Sciences, Sensors and IEEE Network.

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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