Sheng Wang

3.1k citations
142 papers · 2.0k · h-index 26

Impact in

Papers in

Sheng Wang

127 papers receiving 2.0k citations

Peers

Sheng Wang
Comparison fields: 5 of 144
  • Industrial and Manufacturing Engineering 413
  • Computer Networks and Communications 512
  • Information Systems 429
  • Artificial Intelligence 418
  • Hardware and Architecture 69
Replace Nasser Jazdi with:
Nasser Jazdi Germany
Jun Peng China
Zhile Yang China
Nian Liu China
Xinyu Li China
Pandian Vasant Malaysia
Seppo Sierla Finland
Markus Wagner Australia
Xin Lu China
Manuel López‐Ibáñez United Kingdom
Sheng Wang relative to Nasser Jazdi Germany Nasser Jazdi's profile →
Citations per field
00.5×1.5×1.8×
Nasser Jazdi · 1×
Citations per year

Countries citing papers authored by Sheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015144
2 2014104
3 201895
4 202076
5 201868
6 201960
7 202159
8 201859
9 200758
10 201650
11 201947
12 202241
13 201938
14 202037
15 201437
16 201937
17 202236
18 202233
19 202133
20 202431

About Sheng Wang

Sheng Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 142 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (12 papers), Manufacturing Process and Optimization (10 papers), Industrial Vision Systems and Defect Detection (7 papers), IoT and Edge/Fog Computing (6 papers), Advanced machining processes and optimization (6 papers), Distributed systems and fault tolerance (6 papers), Cryptography and Data Security (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (413 citations), Computer Networks and Communications (512 citations), Information Systems (429 citations), Artificial Intelligence (418 citations) and Hardware and Architecture (69 citations). Sheng Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Weidong Li, Xin Lu, Yuchen Liang, Yangming Zhao, Xue Wang, Junjie Ma, Feifei Li, Minlan Yu, Kai Chen and Wei Bai. Their work appears in journals such as Proceedings of the VLDB Endowment, Journal of Cleaner Production, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Fuel and The International Journal of Advanced Manufacturing Technology.

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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