Tianqi Wu

2.3k total citations
46 papers, 993 citations indexed

About

Tianqi Wu is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Tianqi Wu has authored 46 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Materials Chemistry and 7 papers in Artificial Intelligence. Recurrent topics in Tianqi Wu's work include Protein Structure and Dynamics (16 papers), Machine Learning in Bioinformatics (9 papers) and Enzyme Structure and Function (9 papers). Tianqi Wu is often cited by papers focused on Protein Structure and Dynamics (16 papers), Machine Learning in Bioinformatics (9 papers) and Enzyme Structure and Function (9 papers). Tianqi Wu collaborates with scholars based in China, United States and Australia. Tianqi Wu's co-authors include Jianlin Cheng, Max Krook, Jie Hou, Zhiye Guo, Renzhi Cao, Min Yao, Chen Chen, Jinpeng Chen, Naiguang Wang and Zhicong Shi and has published in prestigious journals such as Nature Communications, Bioinformatics and The Science of The Total Environment.

In The Last Decade

Tianqi Wu

41 papers receiving 961 citations

Peers

Tianqi Wu

CTM

POLLU

Weiming Cao Canada

Chunmei Zhang China

Α. Lübbert Germany

William W. Adams United States

Jae-Hun Jung South Korea

Alberto Maria Bersani Italy

Wen Huang China

Youngsong Cho South Korea

Xiaofan Li United States

Bingchen Liu China

Weiming Cao Canada

Tianqi Wu

219 ×0.6

93 ×0.4

54 ×0.5

122 ×1.1

CTM

10 ×0.1

POLLU

Citations per year, relative to Tianqi Wu Tianqi Wu (= 1×) peers Weiming Cao

Countries citing papers authored by Tianqi Wu

Since Specialization

Citations

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

Fields of papers citing papers by Tianqi Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianqi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianqi Wu. A scholar is included among the top collaborators of Tianqi Wu 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 Tianqi Wu. Tianqi Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Tianqi, et al.. (2025). Modeling protein conformational ensembles by guiding AlphaFold2 with Double Electron Electron Resonance (DEER) distance distributions. Nature Communications. 16(1). 7107–7107. 1 indexed citations

Li, Yifei, Wei Ling, Yi Xing, et al.. (2025). Study on the impact of microplastic characteristics on ecological function, microbial community migration and reconstruction mechanisms during saline-alkali soil remediation. Journal of Hazardous Materials. 495. 139044–139044. 1 indexed citations

Li, Yifei, Wei Ling, Chaojun Hou, et al.. (2025). Global distribution characteristics and ecological risk assessment of microplastics in aquatic organisms based on meta-analysis. Journal of Hazardous Materials. 491. 137977–137977. 9 indexed citations

Wu, Tianqi, et al.. (2024). Rigidity of the Delaunay triangulations of the plane. Advances in Mathematics. 456. 109910–109910.

Wu, Tianqi, et al.. (2024). Semiconductor Laser Packaging Technology: Thermal Management, Optical Performance Enhancement, and Reliability Studies. 3(1). 1–18. 4 indexed citations

Wu, Tianqi, et al.. (2024). Improving Protein Secondary Structure Prediction by Deep Language Models and Transformer Networks. Methods in molecular biology. 2867. 43–53. 2 indexed citations

Wang, Wan, Jingjing Liu, Tianqi Wu, et al.. (2023). Micro-alloyed Mg–Al–Sn anode with refined dendrites used for Mg-air battery. Journal of Power Sources. 583. 233569–233569. 27 indexed citations

Liu, Jian, Zhiye Guo, Tianqi Wu, et al.. (2023). Enhancing alphafold-multimer-based protein complex structure prediction with MULTICOM in CASP15. Communications Biology. 6(1). 1140–1140. 43 indexed citations

Chen, Chen, et al.. (2023). 3D-equivariant graph neural networks for protein model quality assessment. Bioinformatics. 39(1). 20 indexed citations

10.

Wu, Tianqi, Zhiye Guo, & Jianlin Cheng. (2023). Atomic protein structure refinement using all-atom graph representations and SE(3)-equivariant graph transformer. Bioinformatics. 39(5). 9 indexed citations

11.

Wu, Tianqi, et al.. (2023). Device Identification based on Network Traffic Fingerprint. 110–113.

12.

Liu, Jian, Zhiye Guo, Tianqi Wu, et al.. (2023). Improving AlphaFold2-based protein tertiary structure prediction with MULTICOM in CASP15. Communications Chemistry. 6(1). 188–188. 16 indexed citations

13.

Guo, Zhiye, Tianqi Wu, Jian Liu, Jie Hou, & Jianlin Cheng. (2021). Improving deep learning-based protein distance prediction in CASP14. Bioinformatics. 37(19). 3190–3196. 8 indexed citations

14.

Wu, Tianqi, Zhiye Guo, Jie Hou, & Jianlin Cheng. (2021). DeepDist: real-value inter-residue distance prediction with deep residual convolutional network. BMC Bioinformatics. 22(1). 30–30. 41 indexed citations

15.

Liu, Jian, et al.. (2021). Protein model accuracy estimation empowered by deep learning and inter-residue distance prediction in CASP14. Scientific Reports. 11(1). 10943–10943. 10 indexed citations

16.

Wu, Tianqi, Zhiye Guo, Jie Hou, & Jianlin Cheng. (2021). Correction to: DeepDist: real‑value inter‑residue distance prediction with deep residual convolutional network. BMC Bioinformatics. 22(1). 354–354. 1 indexed citations

17.

Si, Dong, Jonas Pfab, Jie Hou, et al.. (2020). Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps. Scientific Reports. 10(1). 4282–4282. 62 indexed citations

18.

Hou, Jie, Tianqi Wu, Zhiye Guo, Farhan Quadir, & Jianlin Cheng. (2020). The MULTICOM Protein Structure Prediction Server Empowered by Deep Learning and Contact Distance Prediction. Methods in molecular biology. 2165. 13–26. 15 indexed citations

19.

Hou, Jie, Tianqi Wu, Renzhi Cao, & Jianlin Cheng. (2019). Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13. Proteins Structure Function and Bioinformatics. 87(12). 1165–1178. 117 indexed citations

20.

Li, Shijian, et al.. (2018). An Extreme Learning Machine Based on Artificial Immune System. Computational Intelligence and Neuroscience. 2018. 1–10. 7 indexed citations

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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