Tianlu Wang

3.9k total citations · 2 hit papers
34 papers, 1.2k citations indexed

About

Tianlu Wang is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Tianlu Wang has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Tianlu Wang's work include Topic Modeling (7 papers), Multimodal Machine Learning Applications (6 papers) and Natural Language Processing Techniques (4 papers). Tianlu Wang is often cited by papers focused on Topic Modeling (7 papers), Multimodal Machine Learning Applications (6 papers) and Natural Language Processing Techniques (4 papers). Tianlu Wang collaborates with scholars based in United States, China and Belgium. Tianlu Wang's co-authors include Vicente Ordóñez, Mark Yatskar, Jieyu Zhao, Kai-Wei Chang, Jack Lanchantin, Yanjun Qi, Céline R. Gillebert, Dante Mantini, Ping Gong and Fuxiao Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Biochemical and Biophysical Research Communications.

In The Last Decade

Tianlu Wang

32 papers receiving 1.1k citations

Hit Papers

Men Also Like Shopping: Reducing Gender Bias Amplificatio... 2017 2026 2020 2023 2017 2021 100 200 300 400

Peers

Tianlu Wang
Comparison fields: 5 of 140
  • Artificial Intelligence 615
  • Computer Vision and Pattern Recognition 343
  • Safety Research 145
  • Cognitive Neuroscience 96
  • Molecular Biology 74
Replace Georgina Cosma with:
Georgina Cosma United Kingdom
Jieyu Zhao China
Chaofan Chen China
Ruwei Dai China
Hatim Aboalsamh Saudi Arabia
Johanna Beyer United States
Graham Cooper Germany
Shan Carter United States
Alexander Ratner United States
Georgina Cosma United Kingdom View profile →
Citations per field, relative to Tianlu Wang
Tianlu Wang · 1×
Citations per year, relative to Tianlu Wang
Tianlu Wang · 1×

Countries citing papers authored by Tianlu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tianlu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianlu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tianlu Wang. A scholar is included among the top collaborators of Tianlu 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 Tianlu Wang. Tianlu 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 4
2 2
3 1
4 11
5 3
6 2
7 5
8 4
9 1
10 0
11 5
12 2
13 1
14 1
15 5
16 37
17 51
18
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints breakdown →
403
19 22
20 33

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026