Ding Liu

510 total citations
25 papers, 251 citations indexed

About

Ding Liu is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ding Liu has authored 25 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Control and Systems Engineering, 7 papers in Statistical and Nonlinear Physics and 5 papers in Computer Networks and Communications. Recurrent topics in Ding Liu's work include Chaos control and synchronization (6 papers), Fault Detection and Control Systems (4 papers) and Advanced Control Systems Optimization (4 papers). Ding Liu is often cited by papers focused on Chaos control and synchronization (6 papers), Fault Detection and Control Systems (4 papers) and Advanced Control Systems Optimization (4 papers). Ding Liu collaborates with scholars based in China, Canada and United States. Ding Liu's co-authors include Hai‐Peng Ren, Xiaomei Yan, Hessam Taherian, Lei Xu, Gang Zheng, Haowen Li, Zhiwu Li, Yu Zhang, Fucai Qian and Li Song and has published in prestigious journals such as International Journal of Hydrogen Energy, Journal of the Franklin Institute and International Journal of Systems Science.

In The Last Decade

Ding Liu

24 papers receiving 239 citations

Peers

Ding Liu
Comparison fields: 5 of 51
  • Statistical and Nonlinear Physics 121
  • Control and Systems Engineering 90
  • Electrical and Electronic Engineering 68
  • Artificial Intelligence 63
  • Computer Networks and Communications 57
Replace Yuan Yi with:
Yuan Yi China
Mehrdad Mahmoudian Iran
Jianxiong Hu China
Van‐Phong Vu Vietnam
A. B. M. Nasiruzzaman Australia
Anett Schülke Germany
Nabila M. El-Rabaie Egypt
Per Lund Denmark
Francisco Salas Spain
Yuan Yi China View profile →
Citations per field, relative to Ding Liu
Ding Liu · 1×
Citations per year, relative to Ding Liu
Ding Liu · 1×

Countries citing papers authored by Ding Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ding Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Liu. A scholar is included among the top collaborators of Ding Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ding Liu. Ding Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 28
4 1
5 3
6 8
7 1
8 2
9 8
10 1
11 5
12 4
13 7
14 4
15 130
16 13
17 14
18 0
19 3
20 2

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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