Ting Wang

169 papers receiving 2.1k citations

Peers

Ting Wang
Comparison fields: 5 of 198
  • Education 576
  • Communication 98
  • Health Informatics 19
  • Human Factors and Ergonomics 32
  • Information Systems and Management 93
Replace Sohail Inayatullah with:
Sohail Inayatullah Australia
David B. Knight United States
Langdon Winner United States
Martin Bulmer United Kingdom
Grit Laudel Germany
Edward J. Hackett United States
Erin Leahey United States
James Wilsdon United Kingdom
Nico Stehr Germany
Karen Johnson United States
Ting Wang relative to Sohail Inayatullah Australia Sohail Inayatullah's profile →
Citations per field
00.5×1.5×2.1×
Sohail Inayatullah · 1×
Citations per year

Countries citing papers authored by Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ting 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 Ting Wang Line = papers co-authored together Ting Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018131
2 2004127
3 2011110
4 202198
5 200790
6 201689
7 201684
8
Reliability and Validity of 10-item Kessler Scale (K10) Chinese Version in Evaluation of Mental Health Status of Chinese Population
200876
9 201468
10 200450
11 200849
12 202045
13 201244
14 201636
15 201635
16 201530
17 201629
18 201729
19 201327
20 201125

About Ting Wang

Ting Wang is a scholar working on Education, Information Systems, Sociology and Political Science, Clinical Psychology and Artificial Intelligence, having authored 190 papers that have together received 2.2k indexed citations. Recurring topics across this work include Global Education and Multiculturalism (12 papers), Teacher Education and Leadership Studies (11 papers), COVID-19 and Mental Health (10 papers), International Student and Expatriate Challenges (8 papers), Spam and Phishing Detection (7 papers), Library Science and Information Literacy (6 papers), Second Language Learning and Teaching (5 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Education (576 citations), Communication (98 citations), Health Informatics (19 citations), Human Factors and Ergonomics (32 citations) and Information Systems and Management (93 citations). Ting Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yu-Sheng Su, Chien‐Liang Lin, Peiying Chen, Nicholas Sun‐Keung Pang, Haiyun Ren, Nitin Govil, John McMurria, Toby Miller, Richard Maxwell and Pibin Guo. Their work appears in journals such as Compare A Journal of Comparative and International Education, International Journal of Leadership in Education, Frontiers in Psychology, The Journal of the American Board of Family Medicine and Sustainability.

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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