Ming-Chang Lin

428 citations
18 papers · 299 indexed · h-index 8
Topics
Iterative Learning Control Systems (4 papers)Ion-surface interactions and analysis (3 papers)Adaptive Control of Nonlinear Systems (3 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Ming-Chang Lin

17 papers receiving 278 citations

Peers

Ming-Chang Lin
Comparison fields: 5 of 81
  • Atomic and Molecular Physics, and Optics 131
  • Spectroscopy 65
  • Materials Chemistry 43
  • Electrical and Electronic Engineering 42
  • Social Psychology 37
Replace Steven Sherman with:
Steven Sherman United States
John B. Randazzo United States
H.P. Hooymayers Netherlands
Alireza Khorsandi Iran
Marcel Spruit Netherlands
W. Kirk Stephenson United States
B.E. Gammon United States
R. A. Phillips Australia
Douglas Porter United States
Walter Jansen Germany
Ming-Chang Lin relative to Steven Sherman United States Steven Sherman's profile →
Citations per field
00.5×4.6×
Steven Sherman · 1×
Citations per year

Countries citing papers authored by Ming-Chang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Chang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chang Lin. 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 Ming-Chang Lin. The network helps show where Ming-Chang Lin may publish in the future.

Co-authorship network of co-authors of Ming-Chang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Chang Lin. A scholar is included among the top collaborators of Ming-Chang Lin 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 Ming-Chang Lin. Ming-Chang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 3
3 0
4 3
5 3
6 13
7 10
8
LEQG/LTR CONTROLLER DESIGN WITH EXTENDED KALMAN FILTER FOR SENSORLESS INDUCTION MOTOR SERVO DRIVE
3
9 1
10 21
11 3
12 4
13 4
14 23
15 18
16 96
17 27
18 63

About Ming-Chang Lin

Ming-Chang Lin is a scholar working on Control and Systems Engineering, Computational Mechanics and Management Science and Operations Research, having authored 18 papers that have together received 299 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (4 papers), Ion-surface interactions and analysis (3 papers) and Adaptive Control of Nonlinear Systems (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (131 citations), Spectroscopy (65 citations) and General Psychology (4 citations). Ming-Chang Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include G. Ertl, Charles S. Dulcey, T. G. DiGiuseppe, Jeffrey W. Hudgens, John A. Dagata, David S. Hsu, H. Ping Tserng, S. Ping Ho, Cheng-Feng Cheng and Jium-Ming Lin. Their work appears in journals such as American Journal of Psychiatry, Chemical Physics Letters and Expert Systems with Applications.

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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