Ying Hong

124 total papers · 3.7k total citations
64 papers, 2.7k citations indexed

About

Ying Hong is a scholar working on Organizational Behavior and Human Resource Management, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Ying Hong has authored 64 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Organizational Behavior and Human Resource Management, 14 papers in General Health Professions and 14 papers in Sociology and Political Science. Recurrent topics in Ying Hong's work include Job Satisfaction and Organizational Behavior (21 papers), Innovation and Knowledge Management (7 papers) and Ethics in Business and Education (6 papers). Ying Hong is often cited by papers focused on Job Satisfaction and Organizational Behavior (21 papers), Innovation and Knowledge Management (7 papers) and Ethics in Business and Education (6 papers). Ying Hong collaborates with scholars based in United States, China and Canada. Ying Hong's co-authors include Hui Liao, David P. Lepak, Keiko Toya, Kaifeng Jiang, Jia Hu, Jinmyoung Cho, Anne-Laure P. Winkler, Kyongji Han, Andrea Kim and Yu Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Academy of Management Journal and Journal of Applied Psychology.

In The Last Decade

Ying Hong

60 papers receiving 2.6k citations

Hit Papers

Do they see eye to eye? M... 2009 2026 2014 2020 2009 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Ying Hong 1.6k 615 554 468 400 64 2.7k
Riccardo Peccei 2.0k 1.3× 673 1.1× 502 0.9× 697 1.5× 490 1.2× 63 3.1k
Julian Gould‐Williams 2.0k 1.3× 713 1.2× 525 0.9× 388 0.8× 340 0.8× 34 3.0k
Angela T. Hall 1.5k 1.0× 665 1.1× 604 1.1× 341 0.7× 378 0.9× 27 2.8k
Nathan Eva 1.8k 1.2× 603 1.0× 510 0.9× 289 0.6× 733 1.8× 47 3.3k
Eddy S. Ng 1.6k 1.0× 1.0k 1.7× 388 0.7× 412 0.9× 563 1.4× 101 3.8k
Naresh Khatri 1.3k 0.8× 636 1.0× 671 1.2× 316 0.7× 380 0.9× 55 2.9k
Corine Boon 2.5k 1.6× 675 1.1× 695 1.3× 515 1.1× 497 1.2× 35 3.6k
Catherine Bailey 1.6k 1.0× 665 1.1× 336 0.6× 482 1.0× 512 1.3× 59 2.6k
Yongmei Liu 1.7k 1.1× 522 0.8× 545 1.0× 311 0.7× 583 1.5× 43 2.7k
Ronald S. Landis 1.4k 0.9× 714 1.2× 289 0.5× 399 0.9× 757 1.9× 56 3.1k

Countries citing papers authored by Ying Hong

Since Specialization
Citations

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

Fields of papers citing papers by Ying Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Hong. A scholar is included among the top collaborators of Ying Hong 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 Ying Hong. Ying Hong 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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