Chen Ling

26 papers receiving 373 citations

Peers

Chen Ling
Comparison fields: 5 of 96
  • Communication 82
  • Information Systems and Management 67
  • Human-Computer Interaction 53
  • Architecture 9
  • Sociology and Political Science 184
Replace Lorna Heaton with:
Lorna Heaton Canada
R. Glenn Cummins United States
Joanna Wolfe United States
Ewa Callahan United States
Pardeep Sud United Kingdom
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Eli Cohen Germany
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Citations per year

Countries citing papers authored by Chen Ling

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Ling. 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 Chen Ling. The network helps show where Chen Ling may publish in the future.

Co-authors

The 25 scholars most cited alongside Chen Ling, 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 Chen Ling Line = papers co-authored together Chen Ling 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 2010125
2 200647
3 202136
4
Extension of heuristic evaluation method: a review and reappraisal
200531
5 200828
6
Engineering a Dynamic Science Learning Environment for K-12 Teachers
201018
7 202018
8 202317
9
Cyberspace Attention of Tourist Attractions Based on Baidu Index: Temporal Distribution and Precursor Effect
200813
10 201313
11 20079
12 20236
13 20114
14 20164
15 19874
16 20233
17 20123
18 20223
19 20242
20 20062

About Chen Ling

Chen Ling is a scholar working on Sociology and Political Science, Artificial Intelligence, Social Psychology, Information Systems and Management and Developmental and Educational Psychology, having authored 33 papers that have together received 395 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (4 papers), Hate Speech and Cyberbullying Detection (4 papers), Technology Adoption and User Behaviour (3 papers), Innovative Teaching and Learning Methods (3 papers), Misinformation and Its Impacts (3 papers), Social Media and Politics (2 papers), Orbital Angular Momentum in Optics (2 papers) and Career Development and Diversity (2 papers). The work is most often cited by research in Communication (82 citations), Information Systems and Management (67 citations), Human-Computer Interaction (53 citations), Architecture (9 citations) and Sociology and Political Science (184 citations). Chen Ling has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Gavriel Salvendy, Hwan Hwangbo, Ji Soo Yi, Yong Gu Ji, Pei‐Luen Patrick Rau, Xiaowen Fang, Wonil Hwang, Gianluca Stringhini, Yan‐Ling Song and Emiliano De Cristofaro. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, International Journal of Human-Computer Interaction, Energy, Progress in Natural Science Materials International and Evaluation and Program Planning.

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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