Ze Wang

81 papers receiving 1.0k citations

Peers

Ze Wang
Comparison fields: 5 of 157
  • Computational Mathematics 13
  • Developmental and Educational Psychology 137
  • Education 245
  • Transportation 42
  • Orthopedics and Sports Medicine 48
Replace Linda Titus with:
Linda Titus United States
Marie Delacre Netherlands
Robert A. McLean United States
Andrea Spoto Italy
Torrin M. Liddell United States
Kwanghee Jung United States
Peter Thomas United Kingdom
Gary F. Templeton United States
Pierre‐Majorique Léger Canada
Matthew Cole United Kingdom
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Citations per field
00.5×4.9×
Linda Titus · 1×
Citations per year

Countries citing papers authored by Ze Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ze Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ze Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ze Wang Line = papers co-authored together Ze Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014126
2 201475
3 201952
4 201050
5 201147
6 201937
7 201836
8 201536
9 202030
10 201726
11 202025
12 202224
13 202123
14 201822
15 201221
16 201920
17 202120
18 202019
19 201318
20 201717

About Ze Wang

Ze Wang is a scholar working on Education, Social Psychology, Experimental and Cognitive Psychology, Developmental and Educational Psychology and Molecular Biology, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian function and disorders (5 papers), Education, Achievement, and Giftedness (5 papers), Autism Spectrum Disorder Research (4 papers), Bone health and osteoporosis research (4 papers), Credit Risk and Financial Regulations (4 papers), Cognitive Functions and Memory (3 papers), Human-Animal Interaction Studies (3 papers) and Early Childhood Education and Development (3 papers). The work is most often cited by research in Computational Mathematics (13 citations), Developmental and Educational Psychology (137 citations), Education (245 citations), Transportation (42 citations) and Orthopedics and Sports Medicine (48 citations). Ze Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include David A. Bergin, Christi Bergin, Melissa Stormont, Jack C. Schultz, Shelly Rodgers, Wendy M. Reinke, Keith C. Herman, John P. Thyfault, Lori Newcomer and Pamela S. Hinton. Their work appears in journals such as Science Communication, The Journal of Clinical Endocrinology & Metabolism, Journal of Psychoeducational Assessment, The Journal of Experimental Education and Journal of Applied Physiology.

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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