Mi Chang

705 citations
28 papers · 596 · h-index 11

Impact in

Papers in

Mi Chang

26 papers receiving 576 citations

Peers

Mi Chang
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 246
  • Electrical and Electronic Engineering 284
  • Polymers and Plastics 61
  • Spectroscopy 56
  • Museology 12
Replace Lianhui Li with:
Lianhui Li China
Yafeng Hao China
Cristina Boero Switzerland
Amine Miled Canada
Jiaqi Liu China
Takeshi Takagi Japan
Xiuwei Xuan China
S. Taschini Switzerland
Christos Sapsanis Saudi Arabia
Sara S. Ghoreishizadeh United Kingdom
Mi Chang relative to Lianhui Li China Lianhui Li's profile →
Citations per field
00.5×10×
Lianhui Li · 1×
Citations per year

Countries citing papers authored by Mi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Mi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991166
2 200658
3 200755
4 200754
5 200836
6 199332
7 199229
8 200527
9 199226
10 200225
11 202021
12 202310
13 20069
14 20058
15 20227
16 20206
17 20214
18 20234
19 19924
20 20103

About Mi Chang

Mi Chang is a scholar working on Electrical and Electronic Engineering, Sociology and Political Science, Cellular and Molecular Neuroscience, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 596 indexed citations. Recurring topics across this work include Semiconductor materials and devices (8 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Memory and Neural Computing (3 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers), Diverse Aspects of Tourism Research (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (246 citations), Electrical and Electronic Engineering (284 citations), Polymers and Plastics (61 citations), Spectroscopy (56 citations) and Museology (12 citations). Mi Chang has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include B. Ni, Janos Κ. Lanyi, Richard Needleman, György Váró, Stephen H. White, Ji–Hyun Lee, Hyunsang Hwang, M. Hasan, Rui Dong and Minseok Jo. Their work appears in journals such as Applied Physics Letters, Advanced Engineering Informatics, IEEE Transactions on Electron Devices, Journal on Computing and Cultural Heritage and Water Science & Technology.

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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