Haishuai Wang

2.2k citations
93 papers · 1.4k indexed · h-index 22
Topics
Emotion and Mood Recognition (14 papers)Complex Network Analysis Techniques (12 papers)Advanced Graph Neural Networks (11 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access

In The Last Decade

Haishuai Wang

78 papers receiving 1.3k citations

Peers

Haishuai Wang
Comparison fields: 5 of 133
  • Artificial Intelligence 603
  • Experimental and Cognitive Psychology 343
  • Signal Processing 340
  • Computer Vision and Pattern Recognition 203
  • Information Systems 115
Replace Zaher Al Aghbari with:
Zaher Al Aghbari United Arab Emirates
Muhammad Shahzad Younis Pakistan
Salem A. Alyami Saudi Arabia
Benjamin M. Marlin United States
Mohammad Ehsan Basiri Iran
Heli Sun China
Daniel Sierra-Sosa United States
Shahla Nemati Iran
Gurvinder Singh India
Joachim Diederich Australia
Haishuai Wang relative to Zaher Al Aghbari United Arab Emirates Zaher Al Aghbari's profile →
Citations per field
00.5×3.8×
Zaher Al Aghbari · 1×
Citations per year

Countries citing papers authored by Haishuai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haishuai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haishuai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haishuai Wang. A scholar is included among the top collaborators of Haishuai Wang 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 Haishuai Wang. Haishuai Wang 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
#WorkIndexed citations
1 5
2 0
3 2
4 0
5 1
6 3
7 3
8 0
9 1
10 3
11 6
12 9
13 39
14 3
15 5
16 3
17 74
18 36
19 73
20 94

About Haishuai Wang

Haishuai Wang is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (14 papers), Complex Network Analysis Techniques (12 papers) and Advanced Graph Neural Networks (11 papers). The work is most often cited by research in Signal Processing (340 citations), Experimental and Cognitive Psychology (343 citations) and Artificial Intelligence (603 citations). Haishuai Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ziping Zhao, Yixin Chen, Björn W. Schuller, Zixing Zhang, Shirui Pan, Jia Wu, Nicholas Cummins, Chengqi Zhang, Zhongtian Bao and Jianhua Tao. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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