Jialong Han

1.6k total citations
24 papers, 723 citations indexed

About

Jialong Han is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Jialong Han has authored 24 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Jialong Han's work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Text and Document Classification Technologies (4 papers). Jialong Han is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Text and Document Classification Technologies (4 papers). Jialong Han collaborates with scholars based in China, Singapore and United States. Jialong Han's co-authors include Aixin Sun, Xin Zheng, Chenliang Li, Ying Liu, Xiaoyan Zhu, Yequan Wang, Haisong Zhang, Peifeng Wang, Rong Pan and Yan Song and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Neuroscience Methods and Knowledge and Information Systems.

In The Last Decade

Jialong Han

23 papers receiving 686 citations

Peers

Jialong Han
Comparison fields: 5 of 72
  • Artificial Intelligence 483
  • Transportation 125
  • Information Systems 115
  • Computer Vision and Pattern Recognition 98
  • Signal Processing 96
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P Deepak India
L. Venkata Subramaniam India
Nattiya Kanhabua Germany
Einat Amitay Israel
Elena Demidova Germany
David Ahn United States
Rolf Schwitter Australia
Georgios Petkos Greece
Mohammed Korayem United States
Graham Katz United States
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Citations per field, relative to Jialong Han
Jialong Han · 1×
Citations per year, relative to Jialong Han
Jialong Han · 1×

Countries citing papers authored by Jialong Han

Since Specialization
Citations

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

Fields of papers citing papers by Jialong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialong Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jialong Han. A scholar is included among the top collaborators of Jialong Han 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 Jialong Han. Jialong Han 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 2
4 2
5 8
6 13
7 85
8 156
9 73
10 27
11 134
12 21
13 30
14 10
15 12
16 26
17 34
18 11
19
Microsoft Research Asia at the NTCIR-9 Intent Task.
5
20 9

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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