Peiling Wang

2.3k citations
75 papers · 1.8k · h-index 19

Impact in

Papers in

Peiling Wang

70 papers receiving 1.6k citations

Peers

Peiling Wang
Comparison fields: 5 of 117
  • Library and Information Sciences 128
  • Statistics, Probability and Uncertainty 294
  • Information Systems and Management 285
  • Information Systems 899
  • Communication 229
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Stephen P. Harter United States
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John M. Budd United States
Carole L. Palmer United States
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Pertti Vakkari Finland
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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-authors

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

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000239
2 1998144
3 2003143
4 1998141
5 2002104
6 202094
7 201893
8 199785
9 199983
10 199980
11 200263
12 200653
13 200842
14
Methodologies and Methods for User Behavioral Research.
199936
15 200533
16 201828
17 201227
18
Users' information needs at different stages of a research project: a cognitive view
199724
19
Document Use during a Research Project: A Longitudinal Study.
199518
20 202115

About Peiling Wang

Peiling Wang is a scholar working on Information Systems, Artificial Intelligence, Statistics, Probability and Uncertainty, Information Systems and Management and History and Philosophy of Science, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (19 papers), scientometrics and bibliometrics research (14 papers), Advanced Text Analysis Techniques (9 papers), Web Data Mining and Analysis (7 papers), Meta-analysis and systematic reviews (7 papers), Academic Publishing and Open Access (7 papers), Academic Writing and Publishing (5 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Library and Information Sciences (128 citations), Statistics, Probability and Uncertainty (294 citations), Information Systems and Management (285 citations), Information Systems (899 citations) and Communication (229 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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