Rujun Han

556 total citations
17 papers, 294 citations indexed

About

Rujun Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Rujun Han has authored 17 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Rujun Han's work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (6 papers). Rujun Han is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (6 papers). Rujun Han collaborates with scholars based in United States, China and Switzerland. Rujun Han's co-authors include Nanyun Peng, Ning Qiang, Dan Roth, Mu Yang, Yichao Zhou, Hao Wu, Matt Gardner, Aram Galstyan, Ralph Weischedel and Jiao Sun and has published in prestigious journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Rujun Han

16 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rujun Han United States	9	266	58	32	24	23	17	294
Pushpendre Rastogi United States	8	373 1.4×	74 1.3×	17 0.5×	29 1.2×	14 0.6×	15	398
Maud Ehrmann Switzerland	9	253 1.0×	41 0.7×	27 0.8×	49 2.0×	15 0.7×	30	311
Braden Hancock United States	7	139 0.5×	25 0.4×	21 0.7×	36 1.5×	31 1.3×	9	191
Canasai Kruengkrai Japan	10	435 1.6×	63 1.1×	37 1.2×	62 2.6×	27 1.2×	28	454
Egoitz Laparra Spain	12	405 1.5×	20 0.3×	19 0.6×	40 1.7×	72 3.1×	36	436
Zhaocheng Zhu China	2	330 1.2×	73 1.3×	35 1.1×	30 1.3×	28 1.2×	4	358
Francesco Piccinno Italy	9	200 0.8×	47 0.8×	30 0.9×	39 1.6×	9 0.4×	16	239
Daniele Pighin Italy	11	380 1.4×	26 0.4×	13 0.4×	57 2.4×	26 1.1×	32	397
Leonhard Hennig Germany	10	250 0.9×	27 0.5×	11 0.3×	61 2.5×	19 0.8×	33	291
Junqi Dai China	6	497 1.9×	40 0.7×	43 1.3×	52 2.2×	15 0.7×	10	525

Countries citing papers authored by Rujun Han

Since Specialization

Citations

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

Fields of papers citing papers by Rujun Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rujun Han

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

All Works

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17 of 17 papers shown

Xu, Yumo, Peng Qi, Kunlun Liu, et al.. (2025). CiteEval: Principle-Driven Citation Evaluation for Source Attribution. 32759–32778.

Han, Rujun, Peng Qi, Yumo Xu, et al.. (2024). RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering. 4354–4374. 6 indexed citations

Han, Rujun, Peng Qi, Yuhao Zhang, et al.. (2023). RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. 4294–4311. 1 indexed citations

Ghazarian, Sarik, et al.. (2023). ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems. 4398–4419. 1 indexed citations

Chen, Hong, Rujun Han, Te-Lin Wu, Hideki Nakayama, & Nanyun Peng. (2022). Character-centric Story Visualization via Visual Planning and Token Alignment. 8259–8272. 11 indexed citations

Han, Rujun, et al.. (2022). Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1450–1470. 6 indexed citations

Han, Rujun, Xiang Ren, & Nanyun Peng. (2021). ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 5367–5380. 14 indexed citations

Sun, Jiao, Mu Yang, Nuan Wen, et al.. (2021). EventPlus: A Temporal Event Understanding Pipeline. 56–65. 18 indexed citations

Han, Rujun, Luca Soldaini, & Alessandro Moschitti. (2021). Modeling Context in Answer Sentence Selection Systems on a Latency Budget. 7 indexed citations

10.

Han, Rujun, et al.. (2021). ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7543–7559. 19 indexed citations

11.

Zhou, Yichao, Yu Yan, Rujun Han, et al.. (2021). Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14647–14655. 23 indexed citations

12.

Han, Rujun, Yichao Zhou, & Nanyun Peng. (2020). Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction. 5717–5729. 25 indexed citations

13.

Wise, Alyssa Friend, et al.. (2020). Becoming a Dentist: Tracing Professional Identity Development Through Mixed Methods Data Mining of Student Reflections. International Conference of Learning Sciences. 294–301. 2 indexed citations

14.

Qiang, Ning, Hao Wu, Rujun Han, et al.. (2020). TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. 1158–1172. 40 indexed citations

15.

Han, Rujun, et al.. (2019). Deep Structured Neural Network for Event Temporal Relation Extraction. 666–106. 37 indexed citations

16.

Han, Rujun, Ning Qiang, & Nanyun Peng. (2019). Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction. 78 indexed citations

17.

Han, Rujun, Michael Gill, Arthur Spirling, & Kyunghyun Cho. (2018). Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop. 4890–4895. 6 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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