Peiling Wang

2.3k citations
73 papers · 1.7k indexed · h-index 18

Peiling Wang

68 papers receiving 1.5k citations

Peers

Peiling Wang
Comparison fields: 5 of 130
  • Library and Information Sciences 119
  • Statistics, Probability and Uncertainty 309
  • Information Systems and Management 266
  • Information Systems 831
  • Communication 212
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Stephen P. Harter United States
F. W. Lancaster United States
John M. Budd United States
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Noa Aharony Israel
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Citations per field
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Citations per year

Countries citing papers authored by Peiling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peiling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20241
4 202085
5
Open Peer Review: The Current Landscape and Emerging Models.
20196
6 201891
7
A Brief Analysis of Top Scientists in the Field of Economics and Business Based on Essential Science Indicators Database.
20172
8 20171
9 201612
10 20162
11
Relationship between Usefulness Assessments and Perceptions of Work Task Complexity and Search Topic Specificity: An Exploratory Study
20123
12 20053
13 200259
14
Users' Interaction with the World Wide Web: Problems & Problem-Solving.
19999
15 19994
16
An Exploratory Study of User Searching of the World Wide Web: A Holistic Approach.
19987
17
A Qualitative Study of Scholars' Citation Behavior.
19962
18
Document Use during a Research Project: A Longitudinal Study.
199516
19
A cognitive model of document selection of real users of information retrieval systems
199411
20
Beyond Topical Relevance: Document Selection Behavior of Real Users of IR Systems.
19937

About Peiling Wang

Peiling Wang is a scholar working on Library and Information Sciences, Statistics, Probability and Uncertainty and History and Philosophy of Science, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (18 papers), scientometrics and bibliometrics research (14 papers), Advanced Text Analysis Techniques (9 papers), Academic Publishing and Open Access (7 papers), Meta-analysis and systematic reviews (7 papers), Web Data Mining and Analysis (6 papers), Innovative Teaching and Learning Methods (5 papers) and Web visibility and informetrics (5 papers). The work is most often cited by research in Library and Information Sciences (119 citations), Statistics, Probability and Uncertainty (309 citations) and Information Systems and Management (266 citations). Peiling Wang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Dagobert Soergel, Marilyn Domas White, Carol Tenopir, Dietmar Wolfram, Yiheng Yang, Michael W. Berry, Qiang Wu, Wenya Huang, Dania Bilal and Richard Pollard. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Scientometrics, PLoS ONE, Information Processing & Management and Journal of Data and Information Science.

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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