Yurong He

654 citations
18 papers · 495 indexed · h-index 11
Topics
Species Distribution and Climate Change (12 papers)Animal and Plant Science Education (4 papers)Mobile Crowdsensing and Crowdsourcing (4 papers)
Partner nations
United StatesChina

In The Last Decade

Yurong He

18 papers receiving 466 citations

Peers

Yurong He
Comparison fields: 5 of 84
  • Ecological Modeling 235
  • Sociology and Political Science 142
  • Social Psychology 127
  • Computer Science Applications 89
  • Human-Computer Interaction 59
Replace Alexandra Eveleigh with:
Alexandra Eveleigh United Kingdom
Maria Aristeidou United Kingdom
Jennifer Hammock United States
Carol Boston United States
Georgia Bracey United States
Dick Kasperowski Sweden
Darcy Lewis United States
Deborah J. Trumbull United States
Christopher Kullenberg Sweden
Dana Rotman United States
Yurong He relative to Alexandra Eveleigh United Kingdom Alexandra Eveleigh's profile →
Citations per field
00.5×1.5×1.9×
Alexandra Eveleigh · 1×
Citations per year

Countries citing papers authored by Yurong He

Since Specialization
Citations

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

Fields of papers citing papers by Yurong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yurong He

This figure shows the co-authorship network connecting the top 25 collaborators of Yurong He. A scholar is included among the top collaborators of Yurong He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yurong He. Yurong He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 10
2 20
3 66
4 28
5 2
6 34
7 4
8 2
9 99
10 3
11 34
12 31
13 24
14 2
15 112
16 15
17 3
18 6

About Yurong He

Yurong He is a scholar working on Ecological Modeling, Computer Science Applications and Communication, having authored 18 papers that have together received 495 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (12 papers), Animal and Plant Science Education (4 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). The work is most often cited by research in Ecological Modeling (235 citations), Computer Science Applications (89 citations) and Human-Computer Interaction (59 citations). Yurong He has collaborated with scholars based in United States and China. Frequent co-authors include Derek L. Hansen, Anne Bowser, Carol Boston, Jennifer Preece, Dana Rotman, Jennifer Hammock, Julia K. Parrish, Jenny Preece, Andrea Wiggins and M. M. Reid. Their work appears in journals such as Proceedings of the National Academy of Sciences, Ecology and Society and People and Nature.

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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