Yian Yin

1.8k citations
15 papers · 1.0k indexed · 1 hit paper · h-index 11

Yian Yin

13 papers receiving 1.0k citations

Hit Papers

Unequal effects of the COVID-19 pandemic on scientists4632020202620222024100200300400

Peers

Yian Yin
Comparison fields: 5 of 142
  • Statistics, Probability and Uncertainty 267
  • Health Informatics 33
  • Gender Studies 185
  • Modeling and Simulation 52
  • Information Systems and Management 77
Replace Ho Fai Chan with:
Ho Fai Chan Australia
Jens Peter Andersen Denmark
Benoît Macaluso Canada
Chris Woolston United Kingdom
Iman Tahamtan United States
Mike Farjam Sweden
Mary R. Anderson United States
Hong‐Kong T. Nguyen Vietnam
Abel Brodeur Canada
Juan Pablo Alperín Canada
Yian Yin relative to Ho Fai Chan Australia Ho Fai Chan's profile →
Citations per field
00.5×
Ho Fai Chan · 1×
Citations per year

Countries citing papers authored by Yian Yin

Since Specialization
Citations

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

Fields of papers citing papers by Yian Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20251
2 20257
3 202470
4 202363
5 202242
6 2021112
7 20210
8 202170
9
Unequal effects of the COVID-19 pandemic on scientistsbreakdown →
2020463
10 202021
11 20208
12 202064
13 201954
14 201943
15 201921

About Yian Yin

Yian Yin is a scholar working on Statistics, Probability and Uncertainty, Health Informatics, Modeling and Simulation, Information Systems and Management and History and Philosophy of Science, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (7 papers), COVID-19 epidemiological studies (3 papers), Conferences and Exhibitions Management (3 papers), Health and Medical Research Impacts (3 papers), Complex Network Analysis Techniques (2 papers), Scientific Computing and Data Management (2 papers), COVID-19 and healthcare impacts (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (267 citations), Health Informatics (33 citations), Gender Studies (185 citations), Modeling and Simulation (52 citations) and Information Systems and Management (77 citations). Yian Yin has collaborated with scholars based in United States, Philippines and China. Frequent co-authors include Dashun Wang, Karim R. Lakhani, Kyle Myers, Marie Thursby, Wei Yang Tham, Jerry G. Thursby, Joseph T. Walsh, P. Schiffer, Jian Gao and Jichao Li. Their work appears in journals such as Science, Scientific Data, Nature, Nature Human Behaviour and Nature Communications.

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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