Lingyao Li

1.4k citations
45 papers · 760 · h-index 16

Impact in

Papers in

Lingyao Li

39 papers receiving 746 citations

Peers

Lingyao Li
Comparison fields: 5 of 132
  • Health Informatics 64
  • Computer Science Applications 80
  • Communication 86
  • Aquatic Science 64
  • Artificial Intelligence 243
Replace Manoj Kumar Verma with:
Manoj Kumar Verma India
Joanna Baran Poland
Xuefan Dong China
Martin Szomszor United Kingdom
Umar Ali Bukar Malaysia
Suvodeep Mazumdar United Kingdom
Jin Mao China
Shaheen Syed India
Jinshan Wu China
Ziqi Zhang China
Lingyao Li relative to Manoj Kumar Verma India Manoj Kumar Verma's profile →
Citations per field
00.5×3.4×
Manoj Kumar Verma · 1×
Citations per year

Countries citing papers authored by Lingyao Li

Since Specialization
Citations

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

Fields of papers citing papers by Lingyao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202479
2 202373
3 202166
4 202156
5 202253
6 202448
7 202238
8 202035
9 202424
10 202123
11 202322
12 201421
13 202419
14 202118
15 202116
16 202315
17 202115
18 201613
19 202213
20 202411

About Lingyao Li

Lingyao Li is a scholar working on Artificial Intelligence, Aquatic Science, Communication, Sociology and Political Science and Immunology, having authored 45 papers that have together received 760 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (9 papers), Public Relations and Crisis Communication (8 papers), Disaster Management and Resilience (7 papers), Aquaculture disease management and microbiota (7 papers), Artificial Intelligence in Healthcare and Education (5 papers), Topic Modeling (4 papers), Reproductive biology and impacts on aquatic species (3 papers) and Seismology and Earthquake Studies (3 papers). The work is most often cited by research in Health Informatics (64 citations), Computer Science Applications (80 citations), Communication (86 citations), Aquatic Science (64 citations) and Artificial Intelligence (243 citations). Lingyao Li has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Zihui Ma, Libby Hemphill, Huizi Yu, Lizhou Fan, Sanggyu Lee, Gregory B. Baecher, Tao Cao, Michelle Bensi, Lizhou Fan and Qingbin Cui. Their work appears in journals such as International Journal of Disaster Risk Reduction, Animals, Aquaculture Reports, Journal of Medical Internet Research and Theriogenology.

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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