Weina Hua

31 total papers · 711 total citations
20 papers, 496 citations indexed

About

Weina Hua is a scholar working on Information Systems, Sociology and Political Science and Statistics, Probability and Uncertainty. According to data from OpenAlex, Weina Hua has authored 20 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 5 papers in Sociology and Political Science and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Weina Hua's work include scientometrics and bibliometrics research (5 papers), Research Data Management Practices (4 papers) and Web visibility and informetrics (3 papers). Weina Hua is often cited by papers focused on scientometrics and bibliometrics research (5 papers), Research Data Management Practices (4 papers) and Web visibility and informetrics (3 papers). Weina Hua collaborates with scholars based in China, United States and New Zealand. Weina Hua's co-authors include Xuelian Pan, Erjia Yan, Cui Ming, Shunbo Yuan, Yun Zhang, Yu Li, Haixia Sun, Ying Cheng, Jiao Li and Shen Liu and has published in prestigious journals such as BMC Public Health, Scientometrics and Journal of Informetrics.

In The Last Decade

Weina Hua

19 papers receiving 467 citations

Hit Papers

Examining the usage, cita... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weina Hua 86 86 57 51 45 20 496
Yue Chen 107 1.2× 72 0.8× 74 1.3× 50 1.0× 56 1.2× 23 576
Jianhua Hou 109 1.3× 69 0.8× 59 1.0× 72 1.4× 28 0.6× 18 473
Hou Hai-yan 175 2.0× 105 1.2× 69 1.2× 61 1.2× 34 0.8× 19 592
He Qin 66 0.8× 111 1.3× 84 1.5× 118 2.3× 35 0.8× 18 565
Jason Rollins 55 0.6× 42 0.5× 66 1.2× 44 0.9× 29 0.6× 8 559
Mengjia Wu 36 0.4× 65 0.8× 51 0.9× 110 2.2× 26 0.6× 27 577
Kun Ding 84 1.0× 44 0.5× 22 0.4× 76 1.5× 26 0.6× 36 594
Lna Malkawi 43 0.5× 21 0.2× 51 0.9× 21 0.4× 22 0.5× 15 543
Matthew Baker 81 0.9× 23 0.3× 77 1.4× 18 0.4× 35 0.8× 28 512
David Chavalarias 179 2.1× 26 0.3× 78 1.4× 42 0.8× 17 0.4× 26 547

Countries citing papers authored by Weina Hua

Since Specialization
Citations

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

Fields of papers citing papers by Weina Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weina Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Weina Hua. A scholar is included among the top collaborators of Weina Hua 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 Weina Hua. Weina Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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