Mei-Yun Lu

10 total papers · 445 total citations
8 papers, 345 citations indexed

About

Mei-Yun Lu is a scholar working on Clinical Psychology, Water Science and Technology and General Health Professions. According to data from OpenAlex, Mei-Yun Lu has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Clinical Psychology, 3 papers in Water Science and Technology and 2 papers in General Health Professions. Recurrent topics in Mei-Yun Lu's work include COVID-19 and Mental Health (3 papers), Healthcare professionals’ stress and burnout (2 papers) and Urban Stormwater Management Solutions (1 paper). Mei-Yun Lu is often cited by papers focused on COVID-19 and Mental Health (3 papers), Healthcare professionals’ stress and burnout (2 papers) and Urban Stormwater Management Solutions (1 paper). Mei-Yun Lu collaborates with scholars based in China, Taiwan and United Kingdom. Mei-Yun Lu's co-authors include Jie Ding, Nanqi Ren, Shan-Shan Yang, Junqiu Jiang, Lan Ding, Lei He, Guoshuai Liu, Chao Yang, Guangyuan Wang and Cheng-Xin Chen and has published in prestigious journals such as Applied Catalysis B: Environmental, Journal of Cleaner Production and Environment International.

In The Last Decade

Mei-Yun Lu

8 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Mei-Yun Lu 161 132 87 65 62 8 345
Sibin Wang 69 0.4× 59 0.4× 42 0.5× 27 0.4× 26 0.4× 24 390
Fatima Mansour 179 1.1× 59 0.4× 20 0.2× 43 0.7× 57 0.9× 14 386
Chuning Zhang 75 0.5× 178 1.3× 38 0.4× 93 1.4× 44 0.7× 10 372
Hesham R. Lotfy 149 0.9× 64 0.5× 9 0.1× 58 0.9× 38 0.6× 14 359
Samaneh Kakhki 29 0.2× 34 0.3× 101 1.2× 18 0.3× 15 0.2× 29 306
Xiaoxuan Yu 25 0.2× 21 0.2× 64 0.7× 33 0.5× 24 0.4× 18 294
Jiayi Luo 153 1.0× 84 0.6× 8 0.1× 27 0.4× 63 1.0× 16 307
Yuan Wen 49 0.3× 159 1.2× 11 0.1× 189 2.9× 38 0.6× 24 334
Joseph T. English 35 0.2× 33 0.3× 101 1.2× 15 0.2× 38 0.6× 33 385
Manuella Lech Cantuaria 120 0.7× 12 0.1× 5 0.1× 28 0.4× 42 0.7× 19 331

Countries citing papers authored by Mei-Yun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Yun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Yun Lu. 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 Mei-Yun Lu. The network helps show where Mei-Yun Lu may publish in the future.

Co-authorship network of co-authors of Mei-Yun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Yun Lu. A scholar is included among the top collaborators of Mei-Yun Lu 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 Mei-Yun Lu. Mei-Yun Lu 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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