Jing Wan

502 total citations
47 papers, 151 citations indexed

About

Jing Wan is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Jing Wan has authored 47 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Jing Wan's work include Topic Modeling (17 papers), Natural Language Processing Techniques (11 papers) and Text and Document Classification Technologies (7 papers). Jing Wan is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (11 papers) and Text and Document Classification Technologies (7 papers). Jing Wan collaborates with scholars based in China, Australia and Czechia. Jing Wan's co-authors include Lei Wang, Donghong Ji, Yacong Zhang, Ling Zhao, Demin Gao, Mingyao Zhang, Qiang He, Donghong Ji, Juanzi Li and Shengping Liu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and BMC Bioinformatics.

In The Last Decade

Jing Wan

36 papers receiving 145 citations

Peers

Jing Wan
Comparison fields: 5 of 66
  • Artificial Intelligence 90
  • Information Systems 36
  • Management Science and Operations Research 17
  • Computer Vision and Pattern Recognition 15
  • Molecular Biology 10
Replace Francesco Corcoglioniti with:
Francesco Corcoglioniti Italy
Amit Pimpalkar India
Xin Rong United States
Alessio Palmero Aprosio Italy
Mehdi Allahyari United States
Kashif Rasul Germany
Maria Maistro Italy
Varun Dogra India
Mohsen Mesgar Germany
Guillermo Carrascón Spain
Francesco Corcoglioniti Italy View profile →
Citations per field, relative to Jing Wan
Jing Wan · 1×
Citations per year, relative to Jing Wan
Jing Wan · 1×

Countries citing papers authored by Jing Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Wan. A scholar is included among the top collaborators of Jing 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 Jing Wan. Jing 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 1
5 2
6 3
7 4
8 0
9 2
10 2
11 1
12 2
13 1
14 1
15 0
16
Category Discrimination Based Feature Selection Algorithm in Chinese Text Classification
7
17
Designing a multi-level metadata standard based on dublin core for museum data
0
18
WHU at TAC 2009: A Tri-categorization Approach to Textual Entailment Recognition
2
19 7
20
Multi-Strategy Question Answering System for NTCIR-7 C-C Task.
3

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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