Chien-Ju Ho

59 total papers · 1.2k total citations
31 papers, 479 citations indexed

About

Chien-Ju Ho is a scholar working on Computer Science Applications, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Chien-Ju Ho has authored 31 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Science Applications, 13 papers in Management Science and Operations Research and 12 papers in Artificial Intelligence. Recurrent topics in Chien-Ju Ho's work include Mobile Crowdsensing and Crowdsourcing (17 papers), Auction Theory and Applications (10 papers) and Advanced Bandit Algorithms Research (6 papers). Chien-Ju Ho is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (17 papers), Auction Theory and Applications (10 papers) and Advanced Bandit Algorithms Research (6 papers). Chien-Ju Ho collaborates with scholars based in United States, Taiwan and Slovenia. Chien-Ju Ho's co-authors include Jennifer Wortman Vaughan, Shahin Jabbari, Jane Yung-jen Hsu, Aleksandrs Slivkins, Tsung‐Hsiang Chang, Ming Yin, Kuan‐Ta Chen, Chen‐Chi Wu, Chin‐Laung Lei and Mihaela van der Schaar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Artificial Intelligence Research and Information Systems Frontiers.

In The Last Decade

Chien-Ju Ho

29 papers receiving 458 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chien-Ju Ho	297	195	168	83	71	31	479
Matteo Venanzi	304 1.0×	109 0.6×	280 1.7×	31 0.4×	78 1.1×	25	485
Peng Dai	298 1.0×	117 0.6×	256 1.5×	63 0.8×	56 0.8×	25	454
Jonathan Bragg	227 0.8×	85 0.4×	253 1.5×	43 0.5×	55 0.8×	29	421
Ricardo Kawase	272 0.9×	63 0.3×	228 1.4×	51 0.6×	130 1.8×	38	475
Christoph Lofi	115 0.4×	36 0.2×	207 1.2×	41 0.5×	75 1.1×	46	468
Mirko Marras	102 0.3×	57 0.3×	251 1.5×	92 1.1×	237 3.3×	54	497
Abolfazl Asudeh	58 0.2×	100 0.5×	328 2.0×	50 0.6×	65 0.9×	51	518
María Salamó	50 0.2×	106 0.5×	258 1.5×	74 0.9×	320 4.5×	49	549
Carmen Lacave	109 0.4×	38 0.2×	217 1.3×	33 0.4×	86 1.2×	38	468
Afra Mashhadi	114 0.4×	28 0.1×	73 0.4×	48 0.6×	72 1.0×	48	531

Countries citing papers authored by Chien-Ju Ho

Since Specialization

Citations

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

Fields of papers citing papers by Chien-Ju Ho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Ju Ho. 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 Chien-Ju Ho. The network helps show where Chien-Ju Ho may publish in the future.

Co-authorship network of co-authors of Chien-Ju Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Ju Ho. A scholar is included among the top collaborators of Chien-Ju Ho 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 Chien-Ju Ho. Chien-Ju Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact