Jipeng Qiang

1.5k total citations
63 papers, 730 citations indexed

About

Jipeng Qiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jipeng Qiang has authored 63 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Jipeng Qiang's work include Topic Modeling (26 papers), Natural Language Processing Techniques (19 papers) and Text and Document Classification Technologies (14 papers). Jipeng Qiang is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (19 papers) and Text and Document Classification Technologies (14 papers). Jipeng Qiang collaborates with scholars based in China, United States and Hong Kong. Jipeng Qiang's co-authors include Xindong Wu, Yun Li, Yunhao Yuan, Yi Zhu, Zhenyu Qian, Yang Shi, Ping Chen, Long Jin, Shuai Li and Fei Xie and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Jipeng Qiang

51 papers receiving 708 citations

Peers

Jipeng Qiang
Comparison fields: 5 of 102
  • Artificial Intelligence 504
  • Information Systems 129
  • Computer Vision and Pattern Recognition 103
  • Sociology and Political Science 74
  • Control and Systems Engineering 71
Replace Ximing Li with:
Ximing Li China
Xiangyu Song China
Xiaozhi Wang China
Min Peng China
Xingcheng Yao China
Yeyun Gong China
Wenhu Chen United States
Maíra Gatti de Bayser Brazil
Yang Deng China
Ximing Li China View profile →
Citations per field, relative to Jipeng Qiang
Jipeng Qiang · 1×
Citations per year, relative to Jipeng Qiang
Jipeng Qiang · 1×

Countries citing papers authored by Jipeng Qiang

Since Specialization
Citations

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

Fields of papers citing papers by Jipeng Qiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jipeng Qiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jipeng Qiang. A scholar is included among the top collaborators of Jipeng Qiang 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 Jipeng Qiang. Jipeng Qiang 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 4
4 1
5 1
6 1
7 2
8 1
9 16
10 5
11 6
12 3
13 5
14 2
15 2
16 64
17 10
18 1
19 3
20
A Simple BERT-Based Approach for Lexical Simplification
6

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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