Chun-Ta Lu

1.2k total citations
31 papers, 651 citations indexed

About

Chun-Ta Lu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chun-Ta Lu has authored 31 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chun-Ta Lu's work include Advanced Graph Neural Networks (12 papers), Recommender Systems and Techniques (9 papers) and Tensor decomposition and applications (6 papers). Chun-Ta Lu is often cited by papers focused on Advanced Graph Neural Networks (12 papers), Recommender Systems and Techniques (9 papers) and Tensor decomposition and applications (6 papers). Chun-Ta Lu collaborates with scholars based in United States, China and Switzerland. Chun-Ta Lu's co-authors include Philip S. Yu, Lifang He, Sihong Xie, Weixiang Shao, Xiangnan Kong, Ann Ragin, Bokai Cao, Guixiang Ma, Linlin Shen and Lei Zheng and has published in prestigious journals such as Knowledge and Information Systems, arXiv (Cornell University) and International Joint Conference on Artificial Intelligence.

In The Last Decade

Chun-Ta Lu

31 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-Ta Lu United States 14 309 166 162 128 120 31 651
Şule Gündüz Öğüdücü Türkiye 17 309 1.0× 222 1.3× 83 0.5× 22 0.2× 260 2.2× 58 804
Zbigniew W. Raś United States 17 528 1.7× 365 2.2× 114 0.7× 26 0.2× 27 0.2× 113 951
James G. Shanahan United States 10 599 1.9× 299 1.8× 80 0.5× 45 0.4× 84 0.7× 34 901
Juan A. Recio-Garcí­a Spain 14 341 1.1× 387 2.3× 79 0.5× 43 0.3× 98 0.8× 40 740
Luigi Di Italy 15 502 1.6× 238 1.4× 97 0.6× 39 0.3× 246 2.0× 63 867
Peilin Zheng China 10 240 0.8× 792 4.8× 61 0.4× 118 0.9× 46 0.4× 19 860
Donghyuk Shin United States 9 104 0.3× 75 0.5× 185 1.1× 17 0.1× 31 0.3× 15 491
Zhu Zhang United States 13 774 2.5× 218 1.3× 38 0.2× 21 0.2× 37 0.3× 43 966
Hakim Hacid United Arab Emirates 12 279 0.9× 375 2.3× 90 0.6× 38 0.3× 473 3.9× 47 964
Haggai Roitman Israel 19 478 1.5× 402 2.4× 142 0.9× 19 0.1× 67 0.6× 75 869

Countries citing papers authored by Chun-Ta Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Ta Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Ta Lu. 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 Chun-Ta Lu. The network helps show where Chun-Ta Lu may publish in the future.

Co-authorship network of co-authors of Chun-Ta Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Ta Lu. A scholar is included among the top collaborators of Chun-Ta Lu 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 Chun-Ta Lu. Chun-Ta Lu 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
1.
Hu, Yushi, Otilia Stretcu, Chun-Ta Lu, et al.. (2024). Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models. 9590–9601. 5 indexed citations
2.
Alldrin, Neil, Otilia Stretcu, Hao Xiong, et al.. (2024). Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use. 17553–17563. 5 indexed citations
3.
Juan, Da-Cheng, Chun-Sung Ferng, Allan Heydon, et al.. (2021). Neural Structured Learning: Training Neural Networks with Structured Signals. 1150–1153. 8 indexed citations
4.
Xia, Congying, et al.. (2020). MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. 14 indexed citations
5.
Liang, Tingting, Lifang He, Chun-Ta Lu, et al.. (2020). CAMAR: a broad learning based context-aware recommender for mobile applications. Knowledge and Information Systems. 62(8). 3291–3319. 3 indexed citations
6.
7.
Zheng, Lei, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, & Philip S. Yu. (2019). Deep Distribution Network. 1081–1084. 17 indexed citations
8.
Shah, Manan, Krishnamurthy Viswanathan, Chun-Ta Lu, et al.. (2019). Inferring Context from Pixels for Multimodal Image Classification. 189–198. 2 indexed citations
9.
Zheng, Lei, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, & Philip S. Yu. (2019). Gated Spectral Units. 1077–1080. 10 indexed citations
10.
Lu, Chun-Ta, Lifang He, Hao Ding, & Philip S. Yu. (2017). Learning from Multi-View Structural Data via Structural Factorization Machines.. arXiv (Cornell University). 2 indexed citations
11.
Zhang, Jingyuan, Chun-Ta Lu, Bokai Cao, Yi Chang, & Philip S. Yu. (2017). Connecting emerging relationships from news via tensor factorization. 1223–1232. 3 indexed citations
12.
Zhang, Chenwei, Nan Du, Wei Fan, et al.. (2017). Bringing semantic structures to user intent detection in online medical queries. 1019–1026. 11 indexed citations
13.
Ma, Guixiang, Lifang He, Chun-Ta Lu, et al.. (2017). Multi-view Clustering with Graph Embedding for Connectome Analysis. 35 indexed citations
14.
Qu, Yongzhi, et al.. (2017). Deep and Broad Learning on Content-Aware POI Recommendation. 23 indexed citations
15.
Lu, Chun-Ta, Sihong Xie, Weixiang Shao, Lifang He, & Philip S. Yu. (2016). Item recommendation for emerging online businesses. International Joint Conference on Artificial Intelligence. 3797–3803. 12 indexed citations
16.
Shao, Weixiang, Lifang He, Chun-Ta Lu, & Philip S. Yu. (2016). Online multi-view clustering with incomplete views. 1012–1017. 82 indexed citations
17.
Wei, Xiaokai, Bokai Cao, Weixiang Shao, Chun-Ta Lu, & Philip S. Yu. (2016). Community detection with partially observable links and node attributes. 773–782. 12 indexed citations
18.
19.
He, Lifang, Chun-Ta Lu, Jiaqi Ma, et al.. (2016). Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. 875–884. 51 indexed citations
20.
Lu, Chun-Ta, Sihong Xie, Xiangnan Kong, & Philip S. Yu. (2014). Inferring the impacts of social media on crowdfunding. 573–582. 145 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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