Li-Te Cheng

1.4k citations
33 papers · 1.0k · h-index 15

Impact in

Papers in

Li-Te Cheng

33 papers receiving 971 citations

Peers

Li-Te Cheng
Comparison fields: 5 of 63
  • Computer Science Applications 327
  • Human-Computer Interaction 261
  • Information Systems 668
  • Software 72
  • Information Systems and Management 117
Replace Till Schümmer with:
Till Schümmer Germany
Marı́a-Isabel Sánchez-Segura Spain
Steven Ross United States
Giuseppe Valetto United States
Aurora Vizcaíno Spain
Neil Iscoe United States
Soo Ling Lim United Kingdom
Christiane Floyd Germany
Ana Paula Chaves Brazil
Susan Elliott Sim United States
Li-Te Cheng relative to Till Schümmer Germany Till Schümmer's profile →
Citations per field
00.5×2×4×6×7.5×
Till Schümmer · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010170
2 200396
3 200391
4 200684
5 200479
6 200470
7 200462
8 201359
9 200953
10 200352
11 200336
12 199635
13 200320
14 200417
15 200517
16 200414
17 202511
18 20069
19
Finding Moments of Play at Work
20118
20 20048

About Li-Te Cheng

Li-Te Cheng is a scholar working on Human-Computer Interaction, Computer Science Applications, Information Systems and Management, Information Systems and Computer Networks and Communications, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Software Engineering Techniques and Practices (11 papers), Open Source Software Innovations (9 papers), Personal Information Management and User Behavior (7 papers), Usability and User Interface Design (6 papers), Advanced Software Engineering Methodologies (5 papers), Virtual Reality Applications and Impacts (4 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Computer Science Applications (327 citations), Human-Computer Interaction (261 citations), Information Systems (668 citations), Software (72 citations) and Information Systems and Management (117 citations). Li-Te Cheng has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John D. Patterson, Steven Ross, Margaret‐Anne Storey, Susanne Hupfer, Cleidson R. B. de Souza, Christoph Treude, Arie van Deursen, John A. Robinson, David Redmiles and David R. Millen. Their work appears in journals such as IEEE Intelligent Systems, IEEE Transactions on Software Engineering, Computer Supported Cooperative Work (CSCW), Queue and ACM SIGSOFT Software Engineering Notes.

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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