Ting Yan

7.0k citations
76 papers · 4.8k indexed · 3 hit papers · h-index 24

Impact in

Papers in

Ting Yan

71 papers receiving 4.4k citations

Hit Papers

Sensitive questions in surveys. 2007 · 2.0k citations
2.0k200420262011201850010001.5k

Peers

Ting Yan
Comparison fields: 5 of 190
  • Computer Networks and Communications 1.4k
  • Statistics and Probability 472
  • Applied Psychology 184
  • Sociology and Political Science 1.5k
  • Health 286
Replace Michael Link with:
Michael Link United States
Alexander Robitzsch Germany
David Andrich Australia
Rob R. Meijer Netherlands
Klaas Sijtsma Netherlands
Gideon J. Mellenbergh Netherlands
Ke‐Hai Yuan United States
L. Andries van der Ark Netherlands
Victoria Savalei Canada
Pere J. Ferrando Spain
Ting Yan relative to Michael Link United States Michael Link's profile →
Citations per field
00.5×3.3×
Michael Link · 1×
Citations per year

Countries citing papers authored by Ting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20241
3 20242
4 20230
5 20232
6 20234
7 20225
8 20225
9 20221
10 20221
11 20213
12 20192
13 201891
14 20176
15 20172
16
Evaluating Survey Questions: A Comparison of Methods
201223
17
Trends in Income nonresponse over two decades
201051
18 200934
19
Sensitive questions in surveys.
Hit paper breakdown →
20071998
20 200617

About Ting Yan

Ting Yan is a scholar working on Statistics and Probability, Structural Biology, Computer Science Applications, Sociology and Political Science and Applied Psychology, having authored 76 papers that have together received 4.8k indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (27 papers), Energy Efficient Wireless Sensor Networks (11 papers), Survey Sampling and Estimation Techniques (9 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Statistical Methods and Bayesian Inference (4 papers), Focus Groups and Qualitative Methods (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Statistics and Probability (472 citations), Applied Psychology (184 citations), Sociology and Political Science (1.5k citations) and Health (286 citations). Ting Yan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Roger Tourangeau, John A. Stankovic, Tian He, Lin Gu, Tarek Abdelzaher, Liqian Luo, Radu Stoleru, Jonathan Hui, Sudha Krishnamurthy and Bruce H. Krogh. Their work appears in journals such as Journal of Survey Statistics and Methodology, Public Opinion Quarterly, Social Science Computer Review, Statistica Sinica and International Journal of Public Opinion Research.

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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