Ding Bao

1.9k citations
36 papers · 231 · h-index 8

Impact in

Papers in

Ding Bao

35 papers receiving 224 citations

Peers

Ding Bao
Comparison fields: 5 of 74
  • Polymers and Plastics 66
  • Control and Systems Engineering 57
  • Electrical and Electronic Engineering 77
  • Automotive Engineering 16
  • Acoustics and Ultrasonics 1
Replace Muhammad Zeeshan Khan with:
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Tu Lan China
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Jingyun Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Ding Bao

Since Specialization
Citations

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

Fields of papers citing papers by Ding Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201536
2 202324
3 202219
4 201818
5 202316
6 201716
7 201312
8 20238
9
Stability Analysis on Predictive Control of Discrete-Time Systems with Input Nonlinearity
20035
10 20255
11 20245
12 20155
13 20065
14
Stability Analysis of Generalized Predictive Control with Input Nonlinearity Based-on Popov′s Theorem
20035
15 20155
16 20234
17 20164
18 20094
19
RL Fuzzy Neural Network and its Application to Oil Pumping Control
20023
20 20253

About Ding Bao

Ding Bao is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry and Mechanical Engineering, having authored 36 papers that have together received 231 indexed citations. Recurring topics across this work include Elevator Systems and Control (7 papers), Organic Electronics and Photovoltaics (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Traffic control and management (4 papers), Advanced Control Systems Optimization (4 papers), Conducting polymers and applications (3 papers), Flame retardant materials and properties (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Polymers and Plastics (66 citations), Control and Systems Engineering (57 citations), Electrical and Electronic Engineering (77 citations), Automotive Engineering (16 citations) and Acoustics and Ultrasonics (1 citation). Ding Bao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qunliang Song, Yongming Zhang, Gang Wang, Jin Xiang, Kamal Alameh, Haiyan Tang, Lun Cai, Ping Li, Yujun Zhang and Jiawei Yao. Their work appears in journals such as Organic Electronics, RSC Advances, Metabolism, Applied Thermal Engineering and International Communications in Heat and Mass Transfer.

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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