Shuling Wang

969 citations
59 papers · 750 · h-index 15

Impact in

Papers in

Shuling Wang

54 papers receiving 738 citations

Peers

Shuling Wang
Comparison fields: 5 of 39
  • Computational Theory and Mathematics 426
  • Software 99
  • Artificial Intelligence 218
  • Hardware and Architecture 37
  • Information Systems 110
Replace Helen Treharne with:
Helen Treharne United Kingdom
Andres Nötzli United States
Daniel Neider Germany
César Sánchez Spain
Guy Leduc Belgium
Bernhard Möller Germany
Iman Poernomo United Kingdom
Cyrille Valentin Artho Japan
Andrea Micheli Italy
Laura K. Dillon United States
Shuling Wang relative to Helen Treharne United Kingdom Helen Treharne's profile →
Citations per field
00.5×2×2.8×
Helen Treharne · 1×
Citations per year

Countries citing papers authored by Shuling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201087
2 200665
3 200653
4 201552
5 201947
6 201444
7 201341
8 201637
9 201329
10 201326
11 200623
12 201617
13 202017
14 201715
15 202115
16 201513
17 201211
18 202211
19 200810
20 201610

About Shuling Wang

Shuling Wang is a scholar working on Computational Theory and Mathematics, Software, Artificial Intelligence, Hardware and Architecture and Information Systems, having authored 59 papers that have together received 750 indexed citations. Recurring topics across this work include Formal Methods in Verification (37 papers), Logic, programming, and type systems (20 papers), Model-Driven Software Engineering Techniques (8 papers), Modeling and Simulation Systems (6 papers), Embedded Systems Design Techniques (5 papers), Service-Oriented Architecture and Web Services (3 papers), Graph Labeling and Dimension Problems (2 papers) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computational Theory and Mathematics (426 citations), Software (99 citations), Artificial Intelligence (218 citations), Hardware and Architecture (37 citations) and Information Systems (110 citations). Shuling Wang has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Naijun Zhan, Liang Zou, Hengjun Zhao, Zongyan Qiu, Geguang Pu, Xiangpeng Zhao, Bohua Zhan, Wei Jia, Ling Zhu and Jie Gui. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Lecture notes in computer science, Journal of Systems Architecture, Journal of Combinatorial Optimization and The Computer Journal.

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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