Chien-Ju Ho

1.2k total citations
31 papers, 483 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 483 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, Ming Yin, Tsung‐Hsiang Chang, Kuan‐Ta Chen, Mihaela van der Schaar, Chen‐Chi Wu and Chin‐Laung Lei 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 462 citations

Peers

Chien-Ju Ho

CSA

MSOR

AI

CVPR

IS

Jonathan Bragg United States

Pavel Kucherbaev Italy

Ricardo Kawase Germany

Mirko Marras Italy

Eddy Maddalena Italy

Andy Edmonds Switzerland

David Piorkowski United States

Joseph Chee Chang United States

Christopher Riederer United States

Sukriti Ramesh Switzerland

Jonathan Bragg United States

Chien-Ju Ho

228 ×0.8

CSA

85 ×0.4

MSOR

258 ×1.5

AI

45 ×0.5

CVPR

55 ×0.8

IS

Citations per year, relative to Chien-Ju Ho Chien-Ju Ho (= 1×) peers Jonathan Bragg

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

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20 of 20 papers shown

1.

Ho, Chien-Ju, et al.. (2024). The consequences of AI training on human decision-making. Proceedings of the National Academy of Sciences. 121(33). e2408731121–e2408731121. 6 indexed citations

2.

Clayton, Ellen Wright, et al.. (2024). Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets. PubMed. 2024. 192–201.

3.

Ho, Chien-Ju, et al.. (2023). How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making?. 49–57. 2 indexed citations

4.

Ho, Chien-Ju, et al.. (2023). Humans Forgo Reward to Instill Fairness into AI. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 11(1). 152–162. 2 indexed citations

5.

Yu, Guanghui, et al.. (2022). How Does Predictive Information Affect Human Ethical Preferences?. 508–517. 1 indexed citations

6.

Das, Sanmay, et al.. (2021). Efficient Nonmyopic Online Allocation of Scarce Reusable Resources. Autonomous Agents and Multi-Agent Systems. 447–455. 1 indexed citations

7.

Ho, Chien-Ju, et al.. (2021). Linear Models are Robust Optimal Under Strategic Behavior.. International Conference on Artificial Intelligence and Statistics. 2584–2592.

8.

Ho, Chien-Ju, et al.. (2020). Differentially Private Contextual Dynamic Pricing. Adaptive Agents and Multi-Agents Systems. 1368–1376. 4 indexed citations

9.

Ho, Chien-Ju, et al.. (2019). Bandit Learning with Biased Human Feedback. Adaptive Agents and Multi-Agents Systems. 1324–1332. 3 indexed citations

10.

Yin, Ming, et al.. (2019). Leveraging Peer Communication to Enhance Crowdsourcing. 1794–1805. 12 indexed citations

11.

Liu, Yang & Chien-Ju Ho. (2018). Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 6 indexed citations

12.

Ho, Chien-Ju, Rafael Frongillo, & Yiling Chen. (2016). Eliciting Categorical Data for Optimal Aggregation. Neural Information Processing Systems. 29. 2442–2450. 7 indexed citations

13.

Ho, Chien-Ju, Aleksandrs Slivkins, Siddharth Suri, & Jennifer Wortman Vaughan. (2016). Incentivizing high quality crowdwork. ACM SIGecom Exchanges. 14(2). 26–34. 21 indexed citations

14.

Ho, Chien-Ju, Shahin Jabbari, & Jennifer Wortman Vaughan. (2013). Adaptive Task Assignment for Crowdsourced Classification. International Conference on Machine Learning. 534–542. 139 indexed citations

15.

Ho, Chien-Ju, et al.. (2012). Towards Social Norm Design for Crowdsourcing Markets. National Conference on Artificial Intelligence. 24 indexed citations

16.

Ho, Chien-Ju, et al.. (2011). DevilTyper. Computers in entertainment. 9(1). 1–14. 6 indexed citations

17.

Ho, Chien-Ju, et al.. (2010). KissKissBan. ACM SIGKDD Explorations Newsletter. 12(1). 21–24. 16 indexed citations

18.

Ho, Chien-Ju & Kuan‐Ta Chen. (2009). On formal models for social verification. 62–69. 15 indexed citations

19.

Chang, Tsung‐Hsiang, Chien-Ju Ho, & Jane Yung-jen Hsu. (2007). The PhotoSlap game: play to annotate. National Conference on Artificial Intelligence. 1966–1967. 1 indexed citations

20.

Ho, Chien-Ju, Tsung‐Hsiang Chang, & Jane Yung-jen Hsu. (2007). PhotoSlap: a multi-player online game for semantic annotation. National Conference on Artificial Intelligence. 1359–1364. 23 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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