Peipei Wang

677 citations
38 papers · 455 · h-index 11

Impact in

  • Software top 10%
    • Cloud Computing and Resource Management
    • Recommender Systems and Techniques
    • Software Engineering Research

Papers in

    • Topic Modeling 6
    • Advanced Graph Neural Networks 5
    • Domain Adaptation and Few-Shot Learning 3
    • Cloud Computing and Resource Management 6
    • Recommender Systems and Techniques 5
    • Software Engineering Research 4

Peipei Wang

37 papers receiving 425 citations

Peers

Peipei Wang
Comparison fields: 5 of 74
  • Software 38
  • Information Systems 185
  • Computer Networks and Communications 151
  • Artificial Intelligence 192
  • Industrial and Manufacturing Engineering 54
Replace Graeme Gange with:
Graeme Gange Australia
Michi Henning Norway
Seyed Morteza Babamir Iran
Abha Moitra United States
Dana Nau United States
Luay Alawneh Jordan
Fuchun Joseph Lin Taiwan
Qingshan Li China
Rachid Hadjidj Canada
Peipei Wang relative to Graeme Gange Australia Graeme Gange's profile →
Citations per field
00.5×2.5×
Graeme Gange · 1×
Citations per year

Countries citing papers authored by Peipei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200597
2 200676
3 200649
4 202238
5 202329
6 201819
7 202117
8 201617
9 201216
10 202013
11 201511
12 202110
13 20227
14 20095
15 20244
16 20234
17 20224
18 20174
19 20224
20 20214

About Peipei Wang

Peipei Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 38 papers that have together received 455 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Topic Modeling (6 papers), Advanced Graph Neural Networks (5 papers), Recommender Systems and Techniques (5 papers), Software Engineering Research (4 papers), Complex Network Analysis Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Software (38 citations), Information Systems (185 citations), Computer Networks and Communications (151 citations), Artificial Intelligence (192 citations) and Industrial and Manufacturing Engineering (54 citations). Peipei Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peng-Yeng Yin, Lin Li, Ru Wang, Xiaohui Tao, Kathryn T. Stolee, Peiyu Liu, Xiaohui Gu, Qing Xie, Rongquan Feng and Juan D. Velásquez. Their work appears in journals such as Information Processing & Management, Computer Standards & Interfaces, Finite Fields and Their Applications, Journal of Systems and Software and Multimedia Tools and Applications.

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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