Feifei Li

957 citations
47 papers · 563 indexed · h-index 12
Topics
Job Satisfaction and Organizational Behavior (8 papers)Religion, Spirituality, and Psychology (6 papers)Workplace Spirituality and Leadership (6 papers)
Partner nations
ChinaUnited StatesSpain

In The Last Decade

Feifei Li

39 papers receiving 538 citations

Peers

Feifei Li
Comparison fields: 5 of 100
  • Cognitive Neuroscience 265
  • Education 116
  • Computer Vision and Pattern Recognition 98
  • Clinical Psychology 71
  • Social Psychology 64
Replace John H. Krantz with:
John H. Krantz United States
Brett Miller United States
Constance M. Bainbridge United States
Christopher D. Green Canada
Maria F. Dal Martello Italy
Andrew M. Herbert United States
Siu-Lan Tan United States
Leonard Zusne United States
Jessika Golle Germany
Angus Gellatly United Kingdom
Feifei Li relative to John H. Krantz United States John H. Krantz's profile →
Citations per field
00.5×10×13.7×
John H. Krantz · 1×
Citations per year

Countries citing papers authored by Feifei Li

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei Li

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 2
5 0
6 8
7 6
8 1
9 8
10 15
11 13
12 10
13 14
14 2
15 1
16 5
17 15
18 214
19 4
20 20

About Feifei Li

Feifei Li is a scholar working on General Decision Sciences, Organizational Behavior and Human Resource Management and Health, having authored 47 papers that have together received 563 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (8 papers), Religion, Spirituality, and Psychology (6 papers) and Workplace Spirituality and Leadership (6 papers). The work is most often cited by research in Cognitive Neuroscience (265 citations), Computer Vision and Pattern Recognition (98 citations) and Computer Graphics and Computer-Aided Design (14 citations). Feifei Li has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Marius V. Peelen, Sabine Kästner, John W. Fantuzzo, Paul A. McDermott, Vivian L. Gadsden, Silvio Savarese, Dirk B. Walther, Pietro Perona, Marlo A. Perry and Staci Perlman. Their work appears in journals such as Nature, Scientific Reports and Gene.

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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