Tsai-Ching Lu

612 total citations
36 papers, 304 citations indexed

About

Tsai-Ching Lu is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Tsai-Ching Lu has authored 36 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Statistical and Nonlinear Physics and 8 papers in Information Systems. Recurrent topics in Tsai-Ching Lu's work include Complex Network Analysis Techniques (13 papers), Bayesian Modeling and Causal Inference (9 papers) and AI-based Problem Solving and Planning (4 papers). Tsai-Ching Lu is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Bayesian Modeling and Causal Inference (9 papers) and AI-based Problem Solving and Planning (4 papers). Tsai-Ching Lu collaborates with scholars based in United States, Australia and Poland. Tsai-Ching Lu's co-authors include Jiejun Xu, Changhe Yuan, Ryan Compton, Marek J. Drużdżel, Lalindra De Silva, Michael W. Macy, David L. Allen, Craig Lee, K. Wojtek Przytula and David Jurgens and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Tsai-Ching Lu

35 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tsai-Ching Lu United States	10	167	74	49	44	37	36	304
Joydeep Chandra India	12	208 1.2×	63 0.9×	71 1.4×	53 1.2×	46 1.2×	58	384
Lokesh Jain India	10	144 0.9×	137 1.9×	69 1.4×	53 1.2×	27 0.7×	18	338
Raquel Martínez Spain	8	145 0.9×	72 1.0×	51 1.0×	96 2.2×	22 0.6×	16	250
Sathappan Muthiah United States	9	117 0.7×	94 1.3×	47 1.0×	32 0.7×	13 0.4×	15	215
Ting Hua United States	8	122 0.7×	91 1.2×	61 1.2×	66 1.5×	8 0.2×	12	233
Masoud Makrehchi Canada	11	182 1.1×	45 0.6×	54 1.1×	82 1.9×	46 1.2×	56	357
Philipp Singer Germany	11	153 0.9×	74 1.0×	48 1.0×	94 2.1×	9 0.2×	32	372
Eldar Sadikov United States	5	105 0.6×	77 1.0×	41 0.8×	121 2.8×	25 0.7×	6	275
Steven Van Canneyt Belgium	9	136 0.8×	40 0.5×	38 0.8×	56 1.3×	9 0.2×	13	243
Sanasam Ranbir Singh India	10	223 1.3×	84 1.1×	40 0.8×	66 1.5×	8 0.2×	61	326

Countries citing papers authored by Tsai-Ching Lu

Since Specialization

Citations

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

Fields of papers citing papers by Tsai-Ching Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsai-Ching Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Tsai-Ching Lu. A scholar is included among the top collaborators of Tsai-Ching 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 Tsai-Ching Lu. Tsai-Ching Lu 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

Jammalamadaka, Aruna, et al.. (2023). Causanom: Anomaly Detection With Flexible Causal Graphs. SHILAP Revista de lepidopterología. 36.

Lu, Tsai-Ching, Jiejun Xu, Si Zhang, et al.. (2020). CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. 1634–1643. 3 indexed citations

Rostami, Mohammad, David Huber, & Tsai-Ching Lu. (2018). A crowdsourcing triage algorithm for geopolitical event forecasting. 377–381. 14 indexed citations

Lu, Tsai-Ching, et al.. (2018). Interpretable Unsupervised Feature Extraction and Learning of Abnormal System State Transitions in Aircraft Sensor Data. Annual Conference of the PHM Society. 10(1). 2 indexed citations

Xu, Jiejun, Hanghang Tong, Tsai-Ching Lu, Jingrui He, & Nadya Bliss. (2018). GTA ³ 2018. 803–803. 5 indexed citations

Warmsley, Dana, Jiejun Xu, & Tsai-Ching Lu. (2018). From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. 133. 3991–3995. 1 indexed citations

D’Souza, Raissa M., et al.. (2017). Explosive percolation on directed networks due to monotonic flow of activity. Physical review. E. 96(1). 12317–12317. 2 indexed citations

Lu, Tsai-Ching, et al.. (2015). Network Catastrophe: Self-Organized Patterns Reveal both the Instability and the Structure of Complex Networks. Scientific Reports. 5(1). 9450–9450. 17 indexed citations

Compton, Ryan, Craig R. Lee, Jiejun Xu, et al.. (2014). Using publicly visible social media to build detailed forecasts of civil unrest. PubMed. 3(1). 4–4. 32 indexed citations

10.

Yuan, Changhe, et al.. (2014). Most Relevant Explanation in Bayesian Networks. arXiv (Cornell University). 42(1). 309–352. 33 indexed citations

11.

Xu, Jiejun, Tsai-Ching Lu, Ryan Compton, & David L. Allen. (2014). Quantifying cross-platform engagement through large-scale user alignment. 281–282. 3 indexed citations

12.

Ni, Kang-Yu & Tsai-Ching Lu. (2014). Information dynamic spectrum characterizes system instability toward critical transitions. EPJ Data Science. 3(1). 5 indexed citations

13.

Jurgens, David, et al.. (2013). Characterizing Online Discussions in Microblogs Using Network Analysis. National Conference on Artificial Intelligence. 1 indexed citations

14.

Lu, Tsai-Ching, Yilu Zhang, David L. Allen, & Mutasim Salman. (2011). Design for Fault Analysis Using Multi-partite, Multi-attribute Betweenness Centrality Measures. Annual Conference of the PHM Society. 3(1). 2 indexed citations

15.

Lu, Tsai-Ching & Marek J. Drużdżel. (2009). Interactive construction of graphical decision models based on causal mechanisms. European Journal of Operational Research. 199(3). 873–882. 8 indexed citations

16.

Yuan, Changhe & Tsai-Ching Lu. (2008). A general framework for generating multivariate explanations in Bayesian networks. National Conference on Artificial Intelligence. 1119–1124. 6 indexed citations

17.

Lu, Tsai-Ching & K. Wojtek Przytula. (2006). Focusing Strategies for Multiple Fault Diagnosis. The Florida AI Research Society. 842–847. 9 indexed citations

18.

Yuan, Changhe, Tsai-Ching Lu, & Marek J. Drużdżel. (2004). Annealed MAP. Uncertainty in Artificial Intelligence. 628–635. 26 indexed citations

19.

Drużdżel, Marek J. & Tsai-Ching Lu. (2003). Construction and utilization of mechanism-based causal models. 1 indexed citations

20.

Lu, Tsai-Ching, Marek J. Drużdżel, & Tze-Yun Leong. (2000). Causal Mechanism-based Model Constructions. Uncertainty in Artificial Intelligence. 353–362. 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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