Tianyu Wu

1.4k total citations · 1 hit paper
8 papers, 820 citations indexed

About

Tianyu Wu is a scholar working on Management Science and Operations Research, Artificial Intelligence and Organic Chemistry. According to data from OpenAlex, Tianyu Wu has authored 8 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Science and Operations Research, 2 papers in Artificial Intelligence and 1 paper in Organic Chemistry. Recurrent topics in Tianyu Wu's work include Topic Modeling (2 papers), Data Quality and Management (2 papers) and Tunneling and Rock Mechanics (1 paper). Tianyu Wu is often cited by papers focused on Topic Modeling (2 papers), Data Quality and Management (2 papers) and Tunneling and Rock Mechanics (1 paper). Tianyu Wu collaborates with scholars based in China, Australia and Germany. Tianyu Wu's co-authors include Yang Tang, Jingping Liu, Shizhu He, Kang Liu, Qing‐Long Han, Siqi Sun, Qiyu Sun, Jie Liu, Qi Chen and Jürgen Kurths and has published in prestigious journals such as Nature Communications, IEEE Transactions on Biomedical Engineering and Electronics.

In The Last Decade

Tianyu Wu

6 papers receiving 780 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

2023 776 citations Tianyu Wu, Shizhu He et al. IEEE/CAA Journal of Automatica Sinica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tianyu Wu China	5	347	242	79	76	76	8	820
Weixin Liang United States	10	355 1.0×	197 0.8×	64 0.8×	51 0.7×	49 0.6×	20	779
Enis Karaarslan Türkiye	12	279 0.8×	278 1.1×	91 1.2×	60 0.8×	176 2.3×	37	744
Emily Reif United States	10	456 1.3×	91 0.4×	26 0.3×	32 0.4×	74 1.0×	17	802
Zhengliang Liu United States	17	460 1.3×	247 1.0×	220 2.8×	40 0.5×	46 0.6×	51	1.1k
Brighter Agyemang China	6	472 1.4×	551 2.3×	134 1.7×	301 4.0×	96 1.3×	18	1.0k
Rita Frieske Hong Kong	2	885 2.6×	291 1.2×	117 1.5×	67 0.9×	171 2.3×	3	1.5k
Etsuko Ishii Hong Kong	5	916 2.6×	296 1.2×	116 1.5×	71 0.9×	185 2.4×	11	1.6k
Lakshmana Kumar Ramasamy India	14	211 0.6×	119 0.5×	133 1.7×	83 1.1×	175 2.3×	27	637
Konstantinos I. Roumeliotis Greece	9	244 0.7×	156 0.6×	65 0.8×	50 0.7×	91 1.2×	22	552
Md. Mostafizer Rahman Japan	11	351 1.0×	298 1.2×	81 1.0×	272 3.6×	198 2.6×	28	842

Countries citing papers authored by Tianyu Wu

Since Specialization

Citations

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

Fields of papers citing papers by Tianyu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyu Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Wu, Tianyu, Min Zhou, Jingcheng Zou, et al.. (2024). AI-guided few-shot inverse design of HDP-mimicking polymers against drug-resistant bacteria. Nature Communications. 15(1). 6288–6288. 14 indexed citations

2.

Lü, Chen, et al.. (2024). Information Extraction of Aviation Accident Causation Knowledge Graph: An LLM-Based Approach. Electronics. 13(19). 3936–3936. 8 indexed citations

3.

Wu, Tianyu, et al.. (2024). Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning. IEEE Transactions on Biomedical Engineering. 72(1). 309–323. 4 indexed citations

4.

Fang, Shibo, et al.. (2024). Drilling bit wear monitoring method based on multi-head attention mechanism and hybrid neural networks. Geoenergy Science and Engineering. 246. 213635–213635. 1 indexed citations

5.

Fu, Tianyu, et al.. (2023). Multi-Dimensional Deformable Object Manipulation Using Equivariant Models. 32. 1000–1007.

6.

Wu, Tianyu, Shizhu He, Jingping Liu, et al.. (2023). A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development. IEEE/CAA Journal of Automatica Sinica. 10(5). 1122–1136. 776 indexed citations breakdown →

7.

Wu, Tianyu, et al.. (2023). Research on Alignment Method of Civil Aviation Equipment Domain and General Knowledge Graph Entity Based on Graph Neural Network Embedding. 215–223.

8.

Wu, Tianyu, et al.. (2023). Molecular Joint Representation Learning via Multi-Modal Information of SMILES and Graphs. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5). 3044–3055. 17 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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