Bor‐Chin Chang

1.0k citations
85 papers · 733 indexed · h-index 15

Impact in

Papers in

Bor‐Chin Chang

80 papers receiving 688 citations

Peers

Bor‐Chin Chang
Comparison fields: 5 of 56
  • Control and Systems Engineering 540
  • Statistics, Probability and Uncertainty 82
  • Aerospace Engineering 257
  • Numerical Analysis 48
  • Statistical and Nonlinear Physics 82
Replace E.Y. Shapiro with:
E.Y. Shapiro United States
G. Gu United States
D. Brett Ridgely United States
Daisuke Tsubakino Japan
Marc van de Wal Netherlands
A. N. Andry United States
Hsi-Han Yeh United States
Nazareth Bedrossian United States
Jean‐Marc Biannic France
Douglas A. Lawrence United States
Bor‐Chin Chang relative to E.Y. Shapiro United States E.Y. Shapiro's profile →
Citations per field
00.5×6.7×
E.Y. Shapiro · 1×
Citations per year

Countries citing papers authored by Bor‐Chin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Bor‐Chin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bor‐Chin Chang. 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 Bor‐Chin Chang. The network helps show where Bor‐Chin Chang may publish in the future.

Co-authors

The 18 scholars most cited alongside Bor‐Chin Chang, 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 Bor‐Chin Chang Line = papers co-authored together Bor‐Chin Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20192
3
Control systems perspective on safety critical systems
20112
4 201014
5 20105
6
Control of spinning flying vehicles utilizing partial body despin techniques
20094
7 20051
8 20051
9 20051
10 200317
11 20021
12 20029
13 20022
14 20021
15 20020
16 19982
17 19962
18 199230
19 19910
20 19831

About Bor‐Chin Chang

Bor‐Chin Chang is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Numerical Analysis and Aerospace Engineering, having authored 85 papers that have together received 733 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (31 papers), Stability and Control of Uncertain Systems (22 papers), Control Systems and Identification (20 papers), Fault Detection and Control Systems (17 papers), Guidance and Control Systems (14 papers), Aerospace and Aviation Technology (13 papers), Model Reduction and Neural Networks (12 papers) and Advanced Control Systems Optimization (8 papers). The work is most often cited by research in Control and Systems Engineering (540 citations), Statistics, Probability and Uncertainty (82 citations), Aerospace Engineering (257 citations), Numerical Analysis (48 citations) and Statistical and Nonlinear Physics (82 citations). Bor‐Chin Chang has collaborated with scholars based in United States, Singapore and Taiwan. Frequent co-authors include Harry G. Kwatny, J. Pearson, Gaurav Bajpai, Christine M. Belcastro, Hsi-Han Yeh, S.S. Banda, Susy Thomas, Murat Yasar, Chunlong Hu and Bogdan Dumitrescu. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Guidance Control and Dynamics, Asian Journal of Control, Buildings and Journal of Organometallic Chemistry.

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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