Chacha Chen

992 total citations · 2 hit papers
16 papers, 596 citations indexed

About

Chacha Chen is a scholar working on Artificial Intelligence, Safety Research and Control and Systems Engineering. According to data from OpenAlex, Chacha Chen has authored 16 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Safety Research and 2 papers in Control and Systems Engineering. Recurrent topics in Chacha Chen's work include Topic Modeling (4 papers), Ethics and Social Impacts of AI (3 papers) and Transportation Planning and Optimization (2 papers). Chacha Chen is often cited by papers focused on Topic Modeling (4 papers), Ethics and Social Impacts of AI (3 papers) and Transportation Planning and Optimization (2 papers). Chacha Chen collaborates with scholars based in United States, China and Taiwan. Chacha Chen's co-authors include Zhenhui Li, Guanjie Zheng, Hua Wei, Kai Xu, Vikash V. Gayah, Kan Wu, Kai Xu, Ming Yang, Nan Xu and Yuanhao Xiong and has published in prestigious journals such as Computers & Geosciences, Proceedings of the ACM on Human-Computer Interaction and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Chacha Chen

16 papers receiving 574 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.

PressLight

2019 239 citations Hua Wei, Chacha Chen et al. profile →
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control

2020 235 citations Chacha Chen, Hua Wei et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chacha Chen United States	6	384	308	157	144	135	16	596
Eugene Vinitsky United States	10	428 1.1×	166 0.5×	133 0.8×	328 2.3×	99 0.7×	23	563
Cathy Wu United States	12	539 1.4×	225 0.7×	219 1.4×	412 2.9×	97 0.7×	41	726
Shengyin Shen United States	9	199 0.5×	108 0.4×	51 0.3×	262 1.8×	104 0.8×	13	497
Jiqian Dong United States	10	215 0.6×	78 0.3×	63 0.4×	228 1.6×	83 0.6×	13	407
Hoàng Nguyên Australia	8	113 0.3×	217 0.7×	146 0.9×	53 0.4×	74 0.5×	10	375
Samah El-Tantawy Canada	11	616 1.6×	480 1.6×	370 2.4×	184 1.3×	75 0.6×	20	789
Martin Schönhof Germany	10	911 2.4×	458 1.5×	648 4.1×	373 2.6×	19 0.1×	14	1.1k
Leon Kester Netherlands	9	107 0.3×	42 0.1×	47 0.3×	53 0.4×	106 0.8×	56	314
Josiah P. Hanna United States	11	188 0.5×	96 0.3×	352 2.2×	515 3.6×	77 0.6×	22	689
Fangyu Wu United States	7	626 1.6×	182 0.6×	323 2.1×	464 3.2×	32 0.2×	16	857

Countries citing papers authored by Chacha Chen

Since Specialization

Citations

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

Fields of papers citing papers by Chacha Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chacha Chen

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

16 of 16 papers shown

1.

Chen, Chacha, et al.. (2025). GPT-4V Cannot Generate Radiology Reports Yet. 2127–2154. 2 indexed citations

2.

Chen, Tiejin, et al.. (2025). Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey. 6107–6117. 3 indexed citations

3.

Lai, Vivian, Chacha Chen, Alison Smith, Q. Vera Liao, & Chenhao Tan. (2023). Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. 1369–1385. 61 indexed citations

4.

Chen, Chacha, et al.. (2023). Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. 3102–3111. 2 indexed citations

5.

Lai, Vivian, et al.. (2023). Selective Explanations: Leveraging Human Input to Align Explainable AI. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW2). 1–35. 19 indexed citations

6.

Chen, Chacha, et al.. (2023). Machine Explanations and Human Understanding. 1–1. 3 indexed citations

7.

Chen, Vincent, et al.. (2022). Learning to Rank Visual Stories From Human Ranking Data. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6365–6378. 4 indexed citations

8.

Wen, Tao, Chacha Chen, Guanjie Zheng, Joel Z. Bandstra, & Susan L. Brantley. (2022). Using a neural network – Physics-based hybrid model to predict soil reaction fronts. Computers & Geosciences. 167. 105200–105200. 2 indexed citations

9.

Zheng, Guanjie, Chang Liu, Hua Wei, et al.. (2021). Knowledge-based Residual Learning. 1653–1659. 5 indexed citations

10.

Chen, Chacha, et al.. (2021). What Makes A Good Reference Manager? A Quantitative Analysis of Bibliography Management Applications. 64–69. 1 indexed citations

11.

Chen, Chacha, Junjie Liang, Fenglong Ma, et al.. (2021). UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. 217–226. 13 indexed citations

12.

Zheng, Guanjie, Chang Liu, Hua Wei, Chacha Chen, & Zhenhui Li. (2021). Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. 69. 301–312. 3 indexed citations

13.

Wang, Jiaqi, Hua Shen, Chacha Chen, & Frank E. Ritter. (2021). Are Learners Satisfied with Their MOOC Experiences? Assessing and Improving Online Learners’ Interactions. 215–220. 3 indexed citations

14.

Chen, Chacha, Hua Wei, Nan Xu, et al.. (2020). Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3414–3421. 235 indexed citations breakdown →

15.

Chen, Chacha, et al.. (2020). TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. 499–504. 1 indexed citations

16.

Wei, Hua, Chacha Chen, Guanjie Zheng, et al.. (2019). PressLight. 1290–1298. 239 indexed citations breakdown →

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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