Dan Zhang

5.7k citations
250 papers · 4.3k indexed · 3 hit papers · h-index 36

Dan Zhang

217 papers receiving 4.2k citations

Hit Papers

A Novel Disturbance Observer Based Fixed-Ti...66202220262023202450100150

Peers

Dan Zhang
Comparison fields: 5 of 156
  • Control and Systems Engineering 2.6k
  • Computer Networks and Communications 1.8k
  • Statistical and Nonlinear Physics 335
  • Artificial Intelligence 604
  • Computational Theory and Mathematics 296
Replace David Angeli with:
David Angeli Italy
Murat Arcak United States
Hongjian Liu China
Yong Feng China
Hideaki Ishii Japan
Dragan Nešić Australia
Yong Wang China
Stanisław H. Żak United States
Hua Deng China
Bayu Jayawardhana Netherlands
Dan Zhang relative to David Angeli Italy David Angeli's profile →
Citations per field
00.5×3.4×
David Angeli · 1×
Citations per year

Countries citing papers authored by Dan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20257
3 20240
4 20240
5 20242
6 20241
7 202410
8 202412
9 202414
10 20241
11 20240
12 20241
13 20240
14 202343
15 202325
16 202322
17 201936
18 2019141
19 2019125
20 20193

About Dan Zhang

Dan Zhang is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 250 papers that have together received 4.3k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (72 papers), Neural Networks Stability and Synchronization (42 papers), Adaptive Control of Nonlinear Systems (35 papers), Distributed Control Multi-Agent Systems (31 papers), Fault Detection and Control Systems (24 papers), Machine Fault Diagnosis Techniques (19 papers), Stability and Controllability of Differential Equations (17 papers) and Advanced Control Systems Optimization (13 papers). The work is most often cited by research in Control and Systems Engineering (2.6k citations), Computer Networks and Communications (1.8k citations) and Statistical and Nonlinear Physics (335 citations). Dan Zhang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Li Yu, Qing‐Guo Wang, Jun Cheng, Zheng‐Guang Wu, Yongyi Chen, Huaicheng Yan, Zheng‐Guang Wu, Zehua Ye, Chao Deng and Gang Feng. Their work appears in journals such as Advanced Materials, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

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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