Shaohua Wan

16.3k total citations · 9 hit papers
308 papers, 11.6k citations indexed

About

Shaohua Wan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shaohua Wan has authored 308 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Networks and Communications, 97 papers in Computer Vision and Pattern Recognition and 80 papers in Artificial Intelligence. Recurrent topics in Shaohua Wan's work include IoT and Edge/Fog Computing (58 papers), Advanced Neural Network Applications (30 papers) and Privacy-Preserving Technologies in Data (29 papers). Shaohua Wan is often cited by papers focused on IoT and Edge/Fog Computing (58 papers), Advanced Neural Network Applications (30 papers) and Privacy-Preserving Technologies in Data (29 papers). Shaohua Wan collaborates with scholars based in China, United States and Greece. Shaohua Wan's co-authors include Sotirios K. Goudos, Chen Chen, Xiaolong Xu, Lianyong Qi, Zonghua Gu, Qingqi Pei, Songtao Ding, Yin Zhang⋆, Yan Liang and Yirui Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

In The Last Decade

Shaohua Wan

282 papers receiving 11.3k citations

Hit Papers

Internet of Things (IoT) and Agricultural Unmanned Aerial... 2018 2026 2020 2023 2020 2019 2018 2019 2020 100 200 300 400 500

Peers

Shaohua Wan
Comparison fields: 5 of 185
  • Computer Networks and Communications 3.6k
  • Computer Vision and Pattern Recognition 3.2k
  • Artificial Intelligence 2.9k
  • Electrical and Electronic Engineering 2.4k
  • Information Systems 1.9k
Replace Thippa Reddy Gadekallu with:
Thippa Reddy Gadekallu India
Jaime Lloret Spain
M. Shamim Hossain Saudi Arabia
Kai Chen China
Antonio Skármeta Spain
Vinay Chamola India
Praveen Kumar Reddy Maddikunta India
Arun Kumar Sangaiah India
Keping Yu Japan
Pan Zhou China
Thippa Reddy Gadekallu India View profile →
Citations per field, relative to Shaohua Wan
Shaohua Wan · 1×
Citations per year, relative to Shaohua Wan
Shaohua Wan · 1×

Countries citing papers authored by Shaohua Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Wan. A scholar is included among the top collaborators of Shaohua Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaohua Wan. Shaohua Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 7
5 9
6 1
7 11
8 4
9 9
10 1
11 3
12 4
13 9
14 18
15 8
16 71
17 48
18 0
19 24
20 16

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026