Zixuan Li

615 citations
42 papers · 337 indexed · h-index 11
Topics
Topic Modeling (8 papers)Adaptive Control of Nonlinear Systems (6 papers)Advanced Graph Neural Networks (5 papers)
Journals
Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaDevelopment
Partner nations
ChinaSwitzerlandCzechia

In The Last Decade

Zixuan Li

31 papers receiving 332 citations

Peers

Zixuan Li
Comparison fields: 5 of 85
  • Artificial Intelligence 119
  • Control and Systems Engineering 63
  • Computer Vision and Pattern Recognition 47
  • Computer Networks and Communications 43
  • Ocean Engineering 39
Replace Ruifeng Xu with:
Ruifeng Xu China
Akhil Arora United States
Shubham Agrawal India
Jialiang Xie China
Weizhou Zhong China
Qingsong Zhao China
Mounir Ben Ghalia United States
Cheng Zhao China
Chungmok Lee South Korea
Zixuan Li relative to Ruifeng Xu China Ruifeng Xu's profile →
Citations per field
00.5×1.5×
Ruifeng Xu · 1×
Citations per year

Countries citing papers authored by Zixuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Zixuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zixuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zixuan Li. A scholar is included among the top collaborators of Zixuan Li 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 Zixuan Li. Zixuan Li 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
#WorkIndexed citations
1 1
2 1
3 0
4 0
5 0
6 11
7 1
8 8
9 4
10 1
11 6
12 13
13 4
14 15
15 0
16 19
17 0
18 12
19 26
20
The Open Knowledge System for TAC KBP 2017.
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About Zixuan Li

Zixuan Li is a scholar working on Management Science and Operations Research, Biological Psychiatry and Control and Systems Engineering, having authored 42 papers that have together received 337 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Adaptive Control of Nonlinear Systems (6 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Artificial Intelligence (119 citations), Control and Systems Engineering (63 citations) and Management Science and Operations Research (33 citations). Zixuan Li has collaborated with scholars based in China, Switzerland and Czechia. Frequent co-authors include Xiaolong Jin, Jiafeng Guo, Saiping Guan, Xueqi Cheng, Yuanzhuo Wang, Wei Li, Zhihe Zhang, Guolai Yang, Liqun Wang and Long Bai. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Development.

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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