Te-Lin Wu

617 total citations
11 papers, 48 citations indexed

About

Te-Lin Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Te-Lin Wu has authored 11 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Pharmacology. Recurrent topics in Te-Lin Wu's work include Multimodal Machine Learning Applications (5 papers), Ginger and Zingiberaceae research (3 papers) and Topic Modeling (3 papers). Te-Lin Wu is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Ginger and Zingiberaceae research (3 papers) and Topic Modeling (3 papers). Te-Lin Wu collaborates with scholars based in United States, Iran and United Kingdom. Te-Lin Wu's co-authors include Nanyun Peng, Rujun Han, Hideki Nakayama, Hong Chen, Pegah Alipoormolabashi, Ralph Weischedel, Zhongyi Chen, Marjorie Freedman, Andrea Madotto and Qingyuan Hu and has published in prestigious journals such as Journal of Systematics and Evolution, Novon A Journal for Botanical Nomenclature and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Te-Lin Wu

10 papers receiving 45 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Te-Lin Wu United States	4	16	14	14	14	12	11	48
Akira Takahashi Japan	5	53 3.3×	7 0.5×	7 0.5×	6 0.4×	4 0.3×	12	75
Merey Ramazanova Saudi Arabia	3	6 0.4×	3 0.2×	7 0.5×	27 1.9×	18 1.5×	4	39
Zilong Lin China	4	16 1.0×	7 0.5×	11 0.8×	5 0.4×		9	51
Timo Beller Germany	4	37 2.3×	53 3.8×	6 0.4×	19 1.4×	1 0.1×	7	70
Yawen Yang China	4	49 3.1×	19 1.4×	3 0.2×	28 2.0×		10	88
Wenjing Yin China	4	7 0.4×	5 0.4×	4 0.3×	7 0.5×		9	39
Shengyuan Hu United States	4	12 0.8×	3 0.2×	5 0.4×	7 0.5×		6	27
Trần Thị Thuý Hằng Vietnam	5	10 0.6×	13 0.9×		9 0.6×	2 0.2×	25	85
S. P. Wen China	4	10 0.6×	9 0.6×	8 0.6×	2 0.1×		13	42
Laura Daza Colombia	4	6 0.4×	11 0.8×	19 1.4×	1 0.1×		5	45

Countries citing papers authored by Te-Lin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Te-Lin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Te-Lin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Te-Lin Wu. A scholar is included among the top collaborators of Te-Lin 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 Te-Lin Wu. Te-Lin 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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11 of 11 papers shown

1.

Wu, Te-Lin, et al.. (2024). VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. 9845–9860.

2.

Wu, Te-Lin, et al.. (2023). Learning Action Conditions from Instructional Manuals for Instruction Understanding. 3023–3043. 1 indexed citations

3.

Wu, Te-Lin, et al.. (2023). Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge. 4991–5006. 2 indexed citations

4.

Wu, Te-Lin, Zi-Yi Dou, Qingyuan Hu, et al.. (2023). ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos. 11753–11770. 2 indexed citations

5.

Wu, Te-Lin, Satwik Kottur, Andrea Madotto, et al.. (2023). SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams. 6273–6291. 2 indexed citations

6.

Chen, Hong, Rujun Han, Te-Lin Wu, Hideki Nakayama, & Nanyun Peng. (2022). Character-centric Story Visualization via Visual Planning and Token Alignment. 8259–8272. 11 indexed citations

7.

Wu, Te-Lin, et al.. (2022). Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4525–4542. 5 indexed citations

8.

Wu, Te-Lin. (1997). Notes on the Lowiaceae, Musaceae, and Zingiberaceae for the Flora of China. Novon A Journal for Botanical Nomenclature. 7(4). 440–440. 15 indexed citations

9.

Wu, Te-Lin & Zhongyi Chen. (1989). Pyrgophyllum, a New Genus of Zingiberaceae from China. Journal of Systematics and Evolution. 27(2). 124–128. 2 indexed citations

10.

Wu, Te-Lin, et al.. (1978). Materils for Chinese Zingiberaceae. Journal of Systematics and Evolution. 16(3). 25–46. 1 indexed citations

11.

Wu, Te-Lin. (1964). Lowiaceae, a Family New to the Flora of China. Journal of Systematics and Evolution. 9(4). 335–344. 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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