Chengcheng Wang

492 total citations
21 papers, 118 citations indexed

About

Chengcheng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Chengcheng Wang has authored 21 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Chengcheng Wang's work include Natural Language Processing Techniques (5 papers), Speech Recognition and Synthesis (4 papers) and Topic Modeling (3 papers). Chengcheng Wang is often cited by papers focused on Natural Language Processing Techniques (5 papers), Speech Recognition and Synthesis (4 papers) and Topic Modeling (3 papers). Chengcheng Wang collaborates with scholars based in China, United Kingdom and Sweden. Chengcheng Wang's co-authors include Zhen-Hua Ling, Li-Rong Dai, Ning Li, Yongming Tang, He Li, Yonggang Zhang, Yanpeng Cao, Jonathon A. Chambers, Zaiqing Chen and Lijun Yun and has published in prestigious journals such as Scientific Reports, IEEE Access and Computers & Education.

In The Last Decade

Chengcheng Wang

18 papers receiving 111 citations

Peers

Chengcheng Wang
Comparison fields: 5 of 45
  • Artificial Intelligence 58
  • Computer Vision and Pattern Recognition 40
  • Signal Processing 30
  • Computer Networks and Communications 16
  • Control and Systems Engineering 10
Replace Quentin Duval with:
Quentin Duval France
Ximeng Sun United States
Ming-Yu Liu United States
Hugo Latapie United States
Mary Phuong Austria
Jiashuo Yu China
B. Uma Maheswari India
Willi Menapace United States
Yen-Chang Hsu United States
Quentin Duval France View profile →
Citations per field, relative to Chengcheng Wang
Chengcheng Wang · 1×
Citations per year, relative to Chengcheng Wang
Chengcheng Wang · 1×

Countries citing papers authored by Chengcheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengcheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengcheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengcheng Wang. A scholar is included among the top collaborators of Chengcheng 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 Chengcheng Wang. Chengcheng 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
# Work Indexed citations
1 8
2 1
3 4
4 5
5 3
6 1
7 8
8 0
9 5
10 19
11 0
12 3
13 2
14 9
15 1
16 14
17 4
18 7
19 1
20 21

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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