Liezhong Ge

3.8k citations
57 papers · 2.5k indexed · 1 hit paper · h-index 21
Topics
Face Recognition and Perception (29 papers)Evolutionary Psychology and Human Behavior (22 papers)Face recognition and analysis (9 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Liezhong Ge

50 papers receiving 2.4k citations

Hit Papers

Transitioning to Human Interaction with AI Systems: New C...202220262023202420224080120

Peers

Liezhong Ge
Comparison fields: 5 of 112
  • Cognitive Neuroscience 1.7k
  • Experimental and Cognitive Psychology 1.3k
  • Computer Vision and Pattern Recognition 475
  • Social Psychology 474
  • Developmental and Educational Psychology 450
Replace Rachael E. Jack with:
Rachael E. Jack United Kingdom
Daniel C. Richardson United Kingdom
David J. Kelly United Kingdom
Roberto Caldara Switzerland
Lisa M. Oakes United States
Moreno I. Coco United Kingdom
Gary Lupyan United States
Eva G. Krumhuber United Kingdom
Jessica K. Witt United States
Maria Gendron United States
Liezhong Ge relative to Rachael E. Jack United Kingdom Rachael E. Jack's profile →
Citations per field
00.5×2.8×
Rachael E. Jack · 1×
Citations per year

Countries citing papers authored by Liezhong Ge

Since Specialization
Citations

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

Fields of papers citing papers by Liezhong Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liezhong Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Liezhong Ge. A scholar is included among the top collaborators of Liezhong Ge 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 Liezhong Ge. Liezhong Ge 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 0
2 0
3 3
4 1
5 9
6 7
7 33
8 8
9 6
10 73
11 18
12 0
13 24
14 5
15 68
16 17
17 48
18 18
19 114
20 21

About Liezhong Ge

Liezhong Ge is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Human-Computer Interaction, having authored 57 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face Recognition and Perception (29 papers), Evolutionary Psychology and Human Behavior (22 papers) and Face recognition and analysis (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.3k citations), Cognitive Neuroscience (1.7k citations) and Developmental and Educational Psychology (450 citations). Liezhong Ge has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Paul C. Quinn, Kang Lee, Olivier Pascalis, David J. Kelly, Alan Slater, Shaoying Liu, Naiqi G. Xiao, Alan Gibson, Wei Xu and Zaifeng Gao. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Child Development.

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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