Xueqi Cheng

20.9k total citations · 7 hit papers
517 papers, 11.6k citations indexed

About

Xueqi Cheng is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Xueqi Cheng has authored 517 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 342 papers in Artificial Intelligence, 171 papers in Information Systems and 96 papers in Statistical and Nonlinear Physics. Recurrent topics in Xueqi Cheng's work include Topic Modeling (171 papers), Complex Network Analysis Techniques (91 papers) and Advanced Graph Neural Networks (88 papers). Xueqi Cheng is often cited by papers focused on Topic Modeling (171 papers), Complex Network Analysis Techniques (91 papers) and Advanced Graph Neural Networks (88 papers). Xueqi Cheng collaborates with scholars based in China, United States and Singapore. Xueqi Cheng's co-authors include Jiafeng Guo, Huawei Shen, Yanyan Lan, Xiaolong Jin, Yuanzhuo Wang, Xiaohui Yan, Jun Xu, Songbo Tan, Shenghua Liu and Mao-Bin Hu and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xueqi Cheng

494 papers receiving 11.1k citations

Hit Papers

A biterm topic model for short texts 2008 2026 2014 2020 2013 2015 2008 2014 2009 200 400 600

Peers

Xueqi Cheng
Comparison fields: 5 of 182
  • Artificial Intelligence 7.2k
  • Information Systems 3.4k
  • Statistical and Nonlinear Physics 2.5k
  • Computer Vision and Pattern Recognition 1.5k
  • Computer Networks and Communications 1.3k
Replace Yizhou Sun with:
Yizhou Sun United States
Xia Hu United States
Peng Cui China
Jiliang Tang United States
Zhiyuan Liu China
Maosong Sun China
Hanghang Tong United States
Julian McAuley United States
Xiaokui Xiao Singapore
Lise Getoor United States
Yizhou Sun United States View profile →
Citations per field, relative to Xueqi Cheng
Xueqi Cheng · 1×
Citations per year, relative to Xueqi Cheng
Xueqi Cheng · 1×

Countries citing papers authored by Xueqi Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Xueqi Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueqi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xueqi Cheng. A scholar is included among the top collaborators of Xueqi Cheng 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 Xueqi Cheng. Xueqi Cheng 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 0
2 0
3 0
4 3
5 1
6 3
7 2
8 1
9 1
10 1
11 6
12 8
13
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis breakdown →
61
14 7
15 1
16 1
17 4
18 2
19 10
20 1

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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