Yao‐Feng Chang

4.3k citations
121 papers · 3.4k indexed · h-index 33

Impact in

Papers in

Yao‐Feng Chang

118 papers receiving 3.3k citations

Peers

Yao‐Feng Chang
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 992
  • Electrical and Electronic Engineering 2.6k
  • Polymers and Plastics 592
  • Numerical Analysis 173
  • Statistical and Nonlinear Physics 345
Replace J. Fidler with:
J. Fidler Austria
Konstantin K. Likharev United States
M. Marek Czechia
Zhiping Yu China
Yangyuan Wang China
A. Fuliński Poland
Eric Montgomery United States
Umberto Ravaioli United States
Qing Luo China
Warren B. Jackson United States
Yao‐Feng Chang relative to J. Fidler Austria J. Fidler's profile →
Citations per field
00.5×10×15×21.1×
J. Fidler · 1×
Citations per year

Countries citing papers authored by Yao‐Feng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yao‐Feng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202417
4 202334
5 20236
6 20233
7 20221
8 202132
9 202010
10 20206
11 202015
12 201831
13 2018107
14 20189
15 201829
16 201727
17 201758
18 201722
19
A 190~225 GHz high efficiency Schottky diode doubler with circuit substrate flip-chip mounted
20154
20
A fuzzy MCDM approach to building a model of high performance project team - a case study
20128

About Yao‐Feng Chang

Yao‐Feng Chang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics, Numerical Analysis and Materials Chemistry, having authored 121 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (93 papers), Ferroelectric and Negative Capacitance Devices (69 papers), Semiconductor materials and devices (30 papers), Electronic and Structural Properties of Oxides (23 papers), Neuroscience and Neural Engineering (22 papers), Transition Metal Oxide Nanomaterials (16 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers) and Semiconductor materials and interfaces (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (992 citations), Electrical and Electronic Engineering (2.6k citations), Polymers and Plastics (592 citations), Numerical Analysis (173 citations) and Statistical and Nonlinear Physics (345 citations). Yao‐Feng Chang has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Ying‐Chen Chen, Jack C. Lee, George F. Corliss, Burt Fowler, Sungjun Kim, Fei Zhou, Byung‐Gook Park, John Weiss, M. Tabor and Ting‐Chang Chang. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics, IEEE Transactions on Electron Devices, ECS Journal of Solid State Science and Technology and Nanoscale.

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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