Lingxiao Wang

466 total citations
23 papers, 148 citations indexed

About

Lingxiao Wang is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Lingxiao Wang has authored 23 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Artificial Intelligence and 2 papers in Surgery. Recurrent topics in Lingxiao Wang's work include Reinforcement Learning in Robotics (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Epigenetics and DNA Methylation (2 papers). Lingxiao Wang is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Epigenetics and DNA Methylation (2 papers). Lingxiao Wang collaborates with scholars based in China, United States and Italy. Lingxiao Wang's co-authors include Quanquan Gu, Bargav Jayaraman, David Evans, Chenjia Bai, Zhaoran Wang, Peng Liu, Zhenhua Gao, Zhaoran Wang, Rui Zhao and ­Jun Li­ and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Artificial Intelligence.

In The Last Decade

Lingxiao Wang

20 papers receiving 146 citations

Peers

Lingxiao Wang
Comparison fields: 5 of 61
  • Artificial Intelligence 81
  • Molecular Biology 30
  • Control and Systems Engineering 13
  • Computer Vision and Pattern Recognition 12
  • Genetics 9
Replace Heliodoro Tejeda with:
Heliodoro Tejeda United States
Christian Jacob Germany
Weng Howe Chan Malaysia
Jiachen Yang China
Rishabh Agarwal United States
Arya Iranmehr United States
Daisy Yi Ding United States
Yao Wan China
Carolina Zato Spain
Heliodoro Tejeda United States View profile →
Citations per field, relative to Lingxiao Wang
Lingxiao Wang · 1×
Citations per year, relative to Lingxiao Wang
Lingxiao Wang · 1×

Countries citing papers authored by Lingxiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingxiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingxiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lingxiao Wang. A scholar is included among the top collaborators of Lingxiao Wang 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 Lingxiao Wang. Lingxiao Wang 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 2
3 3
4 5
5 5
6 3
7 0
8 4
9 3
10 12
11 49
12 11
13 3
14 5
15 14
16 4
17 3
18
Statistical-Computational Tradeoff in Single Index Models
1
19 9
20 9

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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