Jack Wu

927 total citations · 1 hit paper
12 papers, 613 citations indexed

About

Jack Wu is a scholar working on Information Systems, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jack Wu has authored 12 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Artificial Intelligence and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jack Wu's work include Information Retrieval and Search Behavior (7 papers), Topic Modeling (4 papers) and Data Management and Algorithms (3 papers). Jack Wu is often cited by papers focused on Information Retrieval and Search Behavior (7 papers), Topic Modeling (4 papers) and Data Management and Algorithms (3 papers). Jack Wu collaborates with scholars based in Hong Kong, United States and United Kingdom. Jack Wu's co-authors include Robert W. P. Luk, Kam‐Fai Wong, K. L. Kwok, Richard Dobson, Daniel Sado, James Teo, Narbeh Melikian, Thomas Searle, Daniel I. Bromage and Dhruva Biswas and has published in prestigious journals such as Sensors, European Journal of Heart Failure and Information Processing & Management.

In The Last Decade

Jack Wu

11 papers receiving 576 citations

Hit Papers

align trajectories

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.

Interpreting TF-IDF term weights as making relevance decisions

2008 545 citations Jack Wu, Robert W. P. Luk et al. ACM Transactions on Information Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack Wu Hong Kong	5	321	248	69	62	59	12	613
Shourya Roy India	16	581 1.8×	269 1.1×	112 1.6×	74 1.2×	39 0.7×	57	789
Fedelucio Narducci Italy	15	463 1.4×	388 1.6×	124 1.8×	37 0.6×	64 1.1×	75	727
James G. Shanahan United States	10	599 1.9×	299 1.2×	80 1.2×	53 0.9×	70 1.2×	34	901
Luca Virgili Italy	15	217 0.7×	146 0.6×	71 1.0×	33 0.5×	98 1.7×	45	545
Madian Khabsa United States	17	468 1.5×	299 1.2×	101 1.5×	31 0.5×	42 0.7×	49	867
P Deepak India	14	330 1.0×	202 0.8×	58 0.8×	181 2.9×	107 1.8×	70	613
Maíra Gatti de Bayser Brazil	6	666 2.1×	161 0.6×	73 1.1×	43 0.7×	59 1.0×	20	806
Zhu Zhang United States	13	774 2.4×	218 0.9×	38 0.6×	36 0.6×	105 1.8×	43	966
Ahmad Hawalah United Kingdom	9	378 1.2×	145 0.6×	111 1.6×	25 0.4×	51 0.9×	13	608
Pritheega Magalingam Malaysia	8	193 0.6×	141 0.6×	39 0.6×	34 0.5×	58 1.0×	36	431

Countries citing papers authored by Jack Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jack Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Wu. A scholar is included among the top collaborators of Jack 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 Jack Wu. Jack 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:

12 of 12 papers shown

1.

Biswas, Dhruva, Jack Wu, M. J. Ryan, et al.. (2024). Race- and Ethnicity-Related Differences in Heart Failure With Preserved Ejection Fraction Using Natural Language Processing. JACC Advances. 3(8). 101064–101064. 3 indexed citations

2.

Wu, Jack, et al.. (2023). Improving Generalizability of Spectral Reflectance Reconstruction Using L1-Norm Penalization. Sensors. 23(2). 689–689. 2 indexed citations

3.

Wu, Jack, et al.. (2023). Fluorescent whiteness measurement of textiles by multispectral imaging system. Coloration Technology. 140(4). 612–619.

4.

Wu, Jack, Dhruva Biswas, M. J. Ryan, et al.. (2023). Artificial Intelligence Methods for Improved Detection of Undiagnosed Heart Failure with Preserved Ejection Fraction. European Journal of Heart Failure. 26(2). 302–310. 27 indexed citations

5.

Zhang, Jie, et al.. (2022). Automatic color pattern recognition of multispectral printed fabric images. Journal of Intelligent Manufacturing. 34(6). 2747–2763. 4 indexed citations

6.

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

7.

Wu, Jack, et al.. (2009). Building a framework for the probability ranking principle by a family of expected weighted rank. ACM Transactions on Information Systems. 27(4). 1–37. 4 indexed citations

8.

Wu, Jack, Robert W. P. Luk, Kam‐Fai Wong, & K. L. Kwok. (2008). Interpreting TF-IDF term weights as making relevance decisions. ACM Transactions on Information Systems. 26(3). 1–37. 545 indexed citations breakdown →

9.

Wu, Jack, Robert W. P. Luk, & Kam‐Fai Wong. (2007). Probability ranking principle via optimal expected rank. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 713–714. 3 indexed citations

10.

Wu, Jack, Robert W. P. Luk, Kam‐Fai Wong, & K. L. Kwok. (2006). A retrospective study of a hybrid document-context based retrieval model. Information Processing & Management. 43(5). 1308–1331. 18 indexed citations

11.

Wu, Jack, Robert W. P. Luk, Kam‐Fai Wong, & K. L. Kwok. (2006). Probabilistic document-context based relevance feedback with limited relevance judgments. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 854–854. 2 indexed citations

12.

Wu, Jack, Robert W. P. Luk, Kam‐Fai Wong, K. L. Kwok, & Wenjie Li. (2005). A retrospective study of probabilistic context-based retrieval. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 663–664. 4 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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