Li-Te Cheng

1.4k citations
36 papers · 1.1k · h-index 17

Impact in

Papers in

Li-Te Cheng

36 papers receiving 1.0k citations

Peers

Li-Te Cheng
Comparison fields: 5 of 63
  • Computer Science Applications 341
  • Human-Computer Interaction 267
  • Information Systems 700
  • Software 78
  • Information Systems and Management 121
Replace Irwin Kwan with:
Irwin Kwan United States
Till Schümmer Germany
Fabio Calefato Italy
Vibha Singhal Sinha India
Marı́a-Isabel Sánchez-Segura Spain
Klaas Sikkel Netherlands
Emitzá Guzmán Germany
Aurora Vizcaíno Spain
Neil Iscoe United States
Brent N. Reeves United States
Li-Te Cheng relative to Irwin Kwan United States Irwin Kwan's profile →
Citations per field
00.5×1.5×
Irwin Kwan · 1×
Citations per year

Countries citing papers authored by Li-Te Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Li-Te Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010165
2 200398
3 200392
4 200484
5 200682
6 200470
7 200465
8 201362
9 200950
10 200349
11 200336
12 199633
13 200924
14 200320
15
Proceedings of the 2005 OOPSLA workshop on Eclipse technology eXchange
200518
16 200417
17 200517
18 200414
19 201011
20 200610

About Li-Te Cheng

Li-Te Cheng is a scholar working on Information Systems, Human-Computer Interaction, Information Systems and Management, Computer Science Applications and Computer Networks and Communications, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software Engineering Techniques and Practices (12 papers), Open Source Software Innovations (9 papers), Personal Information Management and User Behavior (7 papers), Usability and User Interface Design (7 papers), Advanced Software Engineering Methodologies (6 papers), Virtual Reality Applications and Impacts (5 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Science Applications (341 citations), Human-Computer Interaction (267 citations), Information Systems (700 citations), Software (78 citations) and Information Systems and Management (121 citations). Li-Te Cheng has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John Patterson, Margaret‐Anne Storey, Steven Ross, Susanne Hupfer, Cleidson R. B. de Souza, Christoph Treude, Arie van Deursen, David Redmiles, David R. Millen and Michael Müller. Their work appears in journals such as IEEE Intelligent Systems, Computer Supported Cooperative Work (CSCW), IEEE Transactions on Software Engineering, Queue and IEEE Software.

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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