Yuan‐Ming Chang

934 citations
39 papers · 754 · h-index 13

Impact in

    • 2D Materials and Applications
    • MXene and MAX Phase Materials
    • Graphene research and applications
    • Advanced Memory and Neural Computing
    • Perovskite Materials and Applications
    • Ferroelectric and Negative Capacitance Devices
    • Chalcogenide Semiconductor Thin Films

Papers in

Yuan‐Ming Chang

39 papers receiving 745 citations

Peers

Yuan‐Ming Chang
Comparison fields: 5 of 58
  • Materials Chemistry 451
  • Electrical and Electronic Engineering 497
  • Cellular and Molecular Neuroscience 77
  • Hardware and Architecture 27
  • Computational Mathematics 2
Replace Nicholas Trainor with:
Nicholas Trainor United States
Norma Sosa United States
Rebecca Park United States
Songman Ju China
Julian J. McMorrow United States
Yakov Roizin Israel
Yueting Zheng China
Jinshun Bi China
Zhiwei Liu China
Daewoong Kwon South Korea
Yuan‐Ming Chang relative to Nicholas Trainor United States Nicholas Trainor's profile →
Citations per field
00.5×9.2×
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Citations per year

Countries citing papers authored by Yuan‐Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020145
2 2018134
3 201879
4 201253
5 201946
6 202040
7 201934
8 201821
9 201821
10 200619
11 200716
12 201115
13 201714
14 202212
15 201011
16 202210
17 20129
18 20217
19 20177
20 20256

About Yuan‐Ming Chang

Yuan‐Ming Chang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Computer Networks and Communications, Hardware and Architecture and Biomedical Engineering, having authored 39 papers that have together received 754 indexed citations. Recurring topics across this work include 2D Materials and Applications (8 papers), Parallel Computing and Optimization Techniques (7 papers), Advanced Memory and Neural Computing (6 papers), MXene and MAX Phase Materials (6 papers), Graphene research and applications (5 papers), Advanced Neural Network Applications (4 papers), Nanowire Synthesis and Applications (4 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Materials Chemistry (451 citations), Electrical and Electronic Engineering (497 citations), Cellular and Molecular Neuroscience (77 citations), Hardware and Architecture (27 citations) and Computational Mathematics (2 citations). Yuan‐Ming Chang has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Yen‐Fu Lin, Shih‐Hsien Yang, Chenhsin Lien, Che‐Yi Lin, Mengjiao Li, Feng‐Shou Yang, Ching‐Hwa Ho, Wenwu Li, Ko‐Chun Lee and Wen‐Bin Jian. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Systems Architecture, Advanced Materials, Nano Energy and Advanced Functional Materials.

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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