Cheng-Hsin Chiang

9 papers receiving 1.1k citations

Cheng-Hsin Chiang's Hit Papers

Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL 2006 · 1.1k citations
1.1k0+6+13Years since publication2505007501000

Peers

Cheng-Hsin Chiang
Comparison fields: 5 of 116
  • Management Science and Operations Research 385
  • Strategy and Management 376
  • Management of Technology and Innovation 138
  • Management Information Systems 167
  • Information Systems and Management 111
Replace Jiunn-I Shieh with:
Jiunn-I Shieh Taiwan
Yu-Ting Lee Taiwan
Joseph Z. Shyu Taiwan
Chi-Yo Huang Taiwan
Helder Gomes Costa Brazil
Jun-Der Leu Taiwan
Reza Rostamzadeh Iran
Minglun Ren China
Lianying Zhang China
Kamrul Ahsan Australia
Cheng-Hsin Chiang relative to Jiunn-I Shieh Taiwan Jiunn-I Shieh's profile →
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Citations per year

Countries citing papers authored by Cheng-Hsin Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Hsin Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Hsin Chiang. 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 Cheng-Hsin Chiang. The network helps show where Cheng-Hsin Chiang may publish in the future.

Co-authors

The 12 scholars most cited alongside Cheng-Hsin Chiang, 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 Cheng-Hsin Chiang Line = papers co-authored together Cheng-Hsin Chiang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL
Hit paper breakdown →
20061056
2 200666
3 201048
4 201917
5 201417
6 20155
7 20175
8 20094
9 20111
10 19761

About Cheng-Hsin Chiang

Cheng-Hsin Chiang is a scholar working on Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management, Human-Computer Interaction and Catalysis, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Intellectual Property and Patents (3 papers), Multi-Criteria Decision Making (2 papers), Innovation and Knowledge Management (2 papers), Innovation Policy and R&D (2 papers), Service and Product Innovation (1 paper), Digital Marketing and Social Media (1 paper), Air Quality Monitoring and Forecasting (1 paper) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Management Science and Operations Research (385 citations), Strategy and Management (376 citations), Management of Technology and Innovation (138 citations), Management Information Systems (167 citations) and Information Systems and Management (111 citations). Cheng-Hsin Chiang has collaborated with scholars based in Taiwan, Macao and United States. Frequent co-authors include Chun Li, Gwo‐Hshiung Tzeng, Aiqin Wang, Chung‐Yuan Mou, Jyun‐Cheng Wang, Yi‐Ching Liaw, Chin-Yuan Fan, Peichun Amy Tsai, Fu-Sheng Tsai and Priyanko Guchait. Their work appears in journals such as Scientometrics, Catalysis Today, Service Business, Expert Systems with Applications and Applied Sciences.

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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