Yan Su

841 total citations
24 papers, 657 citations indexed

About

Yan Su is a scholar working on Artificial Intelligence, Statistics and Probability and Pharmaceutical Science. According to data from OpenAlex, Yan Su has authored 24 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 5 papers in Pharmaceutical Science. Recurrent topics in Yan Su's work include Advanced Statistical Methods and Models (6 papers), Drug Solubulity and Delivery Systems (5 papers) and Advanced Statistical Process Monitoring (4 papers). Yan Su is often cited by papers focused on Advanced Statistical Methods and Models (6 papers), Drug Solubulity and Delivery Systems (5 papers) and Advanced Statistical Process Monitoring (4 papers). Yan Su collaborates with scholars based in China, Macao and United States. Yan Su's co-authors include Lianjie Shu, Zijun Zhang, Huan Long, Kwok‐Leung Tsui, Guochang Wang, Defang Ouyang, Qianqian Zhao, Zhuyifan Ye, Xiaojun Wan and Tianhe Huang and has published in prestigious journals such as Applied Energy, Chemical Physics Letters and Renewable Energy.

In The Last Decade

Yan Su

19 papers receiving 636 citations

Peers

Yan Su
Comparison fields: 5 of 101
  • Artificial Intelligence 306
  • Electrical and Electronic Engineering 239
  • Renewable Energy, Sustainability and the Environment 229
  • Pharmaceutical Science 78
  • Statistics, Probability and Uncertainty 78
Replace Mikkel T. Jensen with:
Mikkel T. Jensen Denmark
A. I. Khuri United States
Jerzy Błaszczyński Poland
Federico Galvanin United Kingdom
Lijin Wang China
Jakob Rehrl Austria
Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ India
Eric Bradford Norway
Jing Qi China
Mikkel T. Jensen Denmark View profile →
Citations per field, relative to Yan Su
Yan Su · 1×
Citations per year, relative to Yan Su
Yan Su · 1×

Countries citing papers authored by Yan Su

Since Specialization
Citations

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

Fields of papers citing papers by Yan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Su. A scholar is included among the top collaborators of Yan Su 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 Yan Su. Yan Su 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 18
4 81
5 17
6 52
7 18
8 0
9 109
10 9
11 0
12 14
13 16
14 4
15 23
16 3
17 3
18 8
19 36
20 2

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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