Robert W. P. Luk

2.3k total citations · 1 hit paper
96 papers, 1.5k citations indexed

About

Robert W. P. Luk is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Robert W. P. Luk has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 36 papers in Information Systems and 33 papers in Signal Processing. Recurrent topics in Robert W. P. Luk's work include Topic Modeling (28 papers), Information Retrieval and Search Behavior (27 papers) and Data Management and Algorithms (17 papers). Robert W. P. Luk is often cited by papers focused on Topic Modeling (28 papers), Information Retrieval and Search Behavior (27 papers) and Data Management and Algorithms (17 papers). Robert W. P. Luk collaborates with scholars based in Hong Kong, United States and China. Robert W. P. Luk's co-authors include K. L. Kwok, Fu-Lai Chung, Kam‐Fai Wong, Jack Wu, Tak-chung Fu, Vincent Ng, R.I. Damper, James Allan, Hong Va Leong and Yinghao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Robert W. P. Luk

91 papers receiving 1.4k citations

Hit Papers

Interpreting TF-IDF term ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert W. P. Luk Hong Kong 16 829 539 495 213 211 96 1.5k
Chuanren Liu United States 24 856 1.0× 238 0.4× 434 0.9× 195 0.9× 197 0.9× 94 1.9k
Yong Ge United States 22 643 0.8× 186 0.3× 541 1.1× 87 0.4× 152 0.7× 63 1.6k
İsmail Hakkı Toroslu Türkiye 18 315 0.4× 130 0.2× 307 0.6× 208 1.0× 132 0.6× 86 1.1k
Mustansar Ali Ghazanfar Pakistan 22 486 0.6× 136 0.3× 578 1.2× 363 1.7× 101 0.5× 53 1.4k
Lipika Dey India 18 980 1.2× 197 0.4× 414 0.8× 134 0.6× 46 0.2× 81 1.5k
Yain‐Whar Si Macao 21 365 0.4× 187 0.3× 164 0.3× 294 1.4× 143 0.7× 108 1.2k
Dymitr Ruta United Arab Emirates 16 656 0.8× 148 0.3× 244 0.5× 96 0.5× 78 0.4× 61 1.6k
Sarabjot Singh Anand United Kingdom 15 353 0.4× 152 0.3× 550 1.1× 82 0.4× 65 0.3× 54 1.0k
Binxing Fang China 20 973 1.2× 370 0.7× 679 1.4× 273 1.3× 95 0.5× 252 2.2k

Countries citing papers authored by Robert W. P. Luk

Since Specialization
Citations

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

Fields of papers citing papers by Robert W. P. Luk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert W. P. Luk. 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 Robert W. P. Luk. The network helps show where Robert W. P. Luk may publish in the future.

Co-authorship network of co-authors of Robert W. P. Luk

This figure shows the co-authorship network connecting the top 25 collaborators of Robert W. P. Luk. A scholar is included among the top collaborators of Robert W. P. Luk 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 Robert W. P. Luk. Robert W. P. Luk 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.
Luk, Robert W. P.. (2020). Insights in How Computer Science can be a Science. SHILAP Revista de lepidopterología. 1 indexed citations
2.
Luk, Robert W. P.. (2019). Why is Bayesian confirmation theory rarely practiced. SHILAP Revista de lepidopterología. 7(1). 3–20. 1 indexed citations
3.
Luk, Robert W. P.. (2019). How to handle risky experiments producing uncertain phenomenon like cold fusion?. SHILAP Revista de lepidopterología. 1 indexed citations
4.
Wu, Jack, Robert W. P. Luk, Kam‐Fai Wong, & Jian‐Yun Nie. (2019). Binary Independence Language Model in a Relevance Feedback Environment. International Journal of Software Engineering and Knowledge Engineering. 29(6). 873–895. 1 indexed citations
5.
Luk, Robert W. P., et al.. (2015). A context‐dependent relevance model. Journal of the Association for Information Science and Technology. 67(3). 582–593. 4 indexed citations
6.
Luk, Robert W. P., et al.. (2009). Optimal Combination of Nested Clusters by a Greedy Approximation Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(11). 2083–2087. 1 indexed citations
7.
Fu, Tak-chung, et al.. (2007). Representing financial time series based on data point importance. Engineering Applications of Artificial Intelligence. 21(2). 277–300. 63 indexed citations
8.
Luk, Robert W. P., et al.. (2005). Using longest common subsequence matching for Chinese information retrieval. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 15(2). 45–52. 2 indexed citations
9.
Luk, Robert W. P., et al.. (2005). Some Experiments with Blind Feedback and Re-ranking for Chinese Information Retrieval.. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1 indexed citations
10.
Luk, Robert W. P. & Kam‐Fai Wong. (2004). Pseudo-Relevance Feedback and Title Re-Ranking for Chinese Information Retrieval. NTCIR. 8(5). e63737–e63737. 5 indexed citations
11.
Luk, Robert W. P. & Kam‐Fai Wong. (2003). Hybrid Chinese Term Indexing and the 2-Poisson Model. IEICE Transactions on Information and Systems. 86(9). 1745–1752. 1 indexed citations
12.
Luk, Robert W. P.. (2002). Different Retrieval Models and Hybrid Term Indexing. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 5 indexed citations
13.
Tsou, Benjamin K., et al.. (2001). A preliminary study of lexical density for the development of XML-based discourse structure tagger. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2 indexed citations
14.
Luk, Robert W. P., Kam‐Fai Wong, & K. L. Kwok. (2001). Hybrid Term Indexing: an Evaluation.. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2 indexed citations
15.
Chung, Fu-Lai, et al.. (2001). Flexible time series pattern matching based on perceptually important points. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 95 indexed citations
16.
Luk, Robert W. P.. (2001). Compact Morphic Directed Acyclic Word Graphs. The Computer Journal. 44(5). 425–434. 1 indexed citations
17.
Luk, Robert W. P., et al.. (1998). Word-Sense Classification by Hierarchical Clustering. Waseda University Repository (Waseda University). 236–247. 2 indexed citations
18.
Luk, Robert W. P., et al.. (1995). A Quantitative Analysis of Word-Definition in a Machine-Readable Dictionary. Pacific Asia Conference on Language, Information, and Computation. 133–138. 1 indexed citations
19.
Luk, Robert W. P.. (1994). An IBM-PC environment for Chinese corpus analysis. 1. 584–584. 2 indexed citations
20.
Luk, Robert W. P. & R.I. Damper. (1992). A modification of the viterbi algorithm for stochastic phonographic transduction. 855–858. 1 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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