Xinyu Zuo

457 total citations
21 papers, 246 citations indexed

About

Xinyu Zuo is a scholar working on Artificial Intelligence, Environmental Chemistry and Nature and Landscape Conservation. According to data from OpenAlex, Xinyu Zuo has authored 21 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Environmental Chemistry and 3 papers in Nature and Landscape Conservation. Recurrent topics in Xinyu Zuo's work include Topic Modeling (6 papers), Aquatic Ecosystems and Phytoplankton Dynamics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Xinyu Zuo is often cited by papers focused on Topic Modeling (6 papers), Aquatic Ecosystems and Phytoplankton Dynamics (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Xinyu Zuo collaborates with scholars based in China, Canada and Italy. Xinyu Zuo's co-authors include Jun Zhao, Kang Liu, Yubo Chen, Weihua Peng, Yuguang Chen, Pengfei Cao, Binliang Lin, Jian Sun, Jian Liu and Zhaowei Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Water Resources Research.

In The Last Decade

Xinyu Zuo

18 papers receiving 245 citations

Peers

Xinyu Zuo
Comparison fields: 5 of 55
  • Artificial Intelligence 161
  • Management Science and Operations Research 42
  • Information Systems 32
  • Computer Vision and Pattern Recognition 28
  • Water Science and Technology 26
Replace Jiacheng Liu with:
Jiacheng Liu China
Lorena Etcheverry Uruguay
Georgios Petasis Greece
Jonathan M. Gomes-Selman United States
Lorenzo Bigagli Italy
Aldo Corbellini Italy
Zainab Assaghir France
Chengde Zhang China
Iraklis Klampanos United Kingdom
Françoise Fessant France
Jiacheng Liu China View profile →
Citations per field, relative to Xinyu Zuo
Xinyu Zuo · 1×
Citations per year, relative to Xinyu Zuo
Xinyu Zuo · 1×

Countries citing papers authored by Xinyu Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Zuo

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Zuo. A scholar is included among the top collaborators of Xinyu Zuo 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 Xinyu Zuo. Xinyu Zuo 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 6
3 0
4 3
5 2
6 0
7 4
8 3
9 4
10 8
11 10
12 9
13 14
14 38
15 32
16 31
17 8
18 7
19 40
20 21

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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