Dayi Lin

21 papers receiving 322 citations

Peers

Dayi Lin
Comparison fields: 5 of 81
  • Software 33
  • Computer Science Applications 28
  • Human-Computer Interaction 28
  • Information Systems 94
  • Artificial Intelligence 132
Replace Traian Rebedea with:
Traian Rebedea Romania
Jungwoo Ryoo United States
Rubia Fatima China
Heather Richter United States
Fábio Petrillo Canada
Affan Yasin China
Lukman Ab. Rahim Malaysia
C. Lewis United States
Michelle P. Steves United States
Paolo Busetta Italy
Dayi Lin relative to Traian Rebedea Romania Traian Rebedea's profile →
Citations per field
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Traian Rebedea · 1×
Citations per year

Countries citing papers authored by Dayi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dayi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201878
2 201648
3 201735
4 202434
5 202225
6 202120
7 202118
8 202116
9 202111
10 201911
11 201610
12 20245
13 20235
14
Soil bacteria and their biochemical characteristics on reclamation of coal mines
20003
15 20162
16 20232
17 20182
18 20241
19 20251
20 20241

About Dayi Lin

Dayi Lin is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Developmental and Educational Psychology and Human-Computer Interaction, having authored 25 papers that have together received 329 indexed citations. Recurring topics across this work include Digital Games and Media (9 papers), Software Engineering Research (6 papers), Educational Games and Gamification (5 papers), Artificial Intelligence in Games (3 papers), Software Reliability and Analysis Research (2 papers), Open Source Software Innovations (2 papers), Virtual Reality Applications and Impacts (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Software (33 citations), Computer Science Applications (28 citations), Human-Computer Interaction (28 citations), Information Systems (94 citations) and Artificial Intelligence (132 citations). Dayi Lin has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Cor‐Paul Bezemer, Ahmed E. Hassan, Ying Zou, Zhen Ming Jiang, Gopi Krishnan Rajbahadur, Boyuan Chen, Abram Hindle, Chakkrit Tantithamthavorn, Xiaoge Li and Rui Liu. Their work appears in journals such as Empirical Software Engineering, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, Software Practice and Experience and IEEE Access.

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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