Ching‐Hung Lee

2.4k citations
66 papers · 1.6k indexed · 1 hit paper · h-index 22

Ching‐Hung Lee

61 papers receiving 1.5k citations

Hit Papers

Computers & Industrial Engineering245201520262018202250100150200

Peers

Ching‐Hung Lee
Comparison fields: 5 of 140
  • Management of Technology and Innovation 343
  • Marketing 284
  • Industrial and Manufacturing Engineering 298
  • Business and International Management 40
  • Human-Computer Interaction 103
Replace Ming‐Chuan Chiu with:
Ming‐Chuan Chiu Taiwan
Luca Mastrogiacomo Italy
Christopher Durugbo United Kingdom
Tobias Larsson Sweden
Shuang Cang United Kingdom
Tsu‐Ming Yeh Taiwan
Jari Porras Finland
Felix Wortmann Switzerland
Hans‐Jörg Bullinger Germany
Hongwei Wang China
Ching‐Hung Lee relative to Ming‐Chuan Chiu Taiwan Ming‐Chuan Chiu's profile →
Citations per field
00.5×2.7×
Ming‐Chuan Chiu · 1×
Citations per year

Countries citing papers authored by Ching‐Hung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Hung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Hung Lee. 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 Ching‐Hung Lee. The network helps show where Ching‐Hung Lee may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20252
6 20246
7 20246
8 20231
9 20231
10 202219
11 202124
12 20217
13 202132
14 20212
15 202017
16 202030
17 202080
18 201924
19 201940
20 20177

About Ching‐Hung Lee

Ching‐Hung Lee is a scholar working on Marketing, Management of Technology and Innovation, Medical Laboratory Technology, Industrial and Manufacturing Engineering and Human-Computer Interaction, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Service and Product Innovation (15 papers), Quality Function Deployment in Product Design (9 papers), Human-Automation Interaction and Safety (8 papers), Digital Transformation in Industry (8 papers), ATP Synthase and ATPases Research (7 papers), Customer Service Quality and Loyalty (6 papers), Photosynthetic Processes and Mechanisms (5 papers) and Consumer Retail Behavior Studies (4 papers). The work is most often cited by research in Management of Technology and Innovation (343 citations), Marketing (284 citations), Industrial and Manufacturing Engineering (298 citations), Business and International Management (40 citations) and Human-Computer Interaction (103 citations). Ching‐Hung Lee has collaborated with scholars based in China, Taiwan and Singapore. Frequent co-authors include Amy J.C. Trappey, Chun‐Hsien Chen, Yuhui Wang, Fan Li, Yu‐Chi Lee, Yu-Hui Wang, Kevin C. Desouza, Xuejiao Zhao, Yuanyuan Xiang and Mei Hong. Their work appears in journals such as Advanced Engineering Informatics, Applied Sciences, Knowledge-Based Systems, Journal of Biological Chemistry 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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