Liunian Harold Li

2.0k total citations
11 papers, 229 citations indexed

About

Liunian Harold Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Liunian Harold Li has authored 11 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Liunian Harold Li's work include Multimodal Machine Learning Applications (8 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (5 papers). Liunian Harold Li is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (5 papers). Liunian Harold Li collaborates with scholars based in United States, China and France. Liunian Harold Li's co-authors include Kai-Wei Chang, Da Yin, Cho‐Jui Hsieh, Mark Yatskar, Haoxuan You, Alireza Zareian, Guy Van den Broeck, Tao Meng, C.‐C. Jay Kuo and Ziniu Hu and has published in prestigious journals such as Lecture notes in computer science, Transactions of the Association for Computational Linguistics and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Liunian Harold Li

11 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liunian Harold Li United States	8	181	112	16	9	8	11	229
Guanghui Qin United States	6	223 1.2×	63 0.6×	5 0.3×	5 0.6×	28 3.5×	10	254
Belinda Zeng United States	6	181 1.0×	176 1.6×	14 0.9×	3 0.3×	13 1.6×	13	264
Matteo Stefanini Italy	5	108 0.6×	209 1.9×	11 0.7×	6 0.7×	6 0.8×	6	255
Andrei Kapishnikov United States	3	129 0.7×	47 0.4×	14 0.9×	15 1.7×	9 1.1×	3	177
Zheng Yong United States	6	227 1.3×	39 0.3×	5 0.3×	13 1.4×	17 2.1×	11	264
Leonard Tang United States	5	106 0.6×	36 0.3×	6 0.4×	9 1.0×	15 1.9×	5	151
Nikita Nangia United States	5	268 1.5×	73 0.7×	4 0.3×	12 1.3×	23 2.9×	10	293
Khalid Almubarak Saudi Arabia	4	183 1.0×	31 0.3×	4 0.3×	11 1.2×	13 1.6×	9	217
Roger Schaer Switzerland	7	63 0.3×	70 0.6×	17 1.1×	5 0.6×	4 0.5×	12	126
Yubin Ge United States	10	202 1.1×	107 1.0×	20 1.3×	1 0.1×	24 3.0×	21	266

Countries citing papers authored by Liunian Harold Li

Since Specialization

Citations

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

Fields of papers citing papers by Liunian Harold Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liunian Harold Li. 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 Liunian Harold Li. The network helps show where Liunian Harold Li may publish in the future.

Co-authorship network of co-authors of Liunian Harold Li

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

11 of 11 papers shown

Li, Liunian Harold, Jack Hessel, Youngjae Yu, et al.. (2023). Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step. 2665–2679. 17 indexed citations

Zhang, Honghua, Liunian Harold Li, Tao Meng, Kai-Wei Chang, & Guy Van den Broeck. (2023). On the Paradox of Learning to Reason from Data. 3365–3373. 20 indexed citations

Li, Liunian Harold, et al.. (2023). MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. 495–508. 4 indexed citations

Yin, Da, et al.. (2022). GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. 2039–2055. 21 indexed citations

Li, Liunian Harold, et al.. (2022). BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. Lecture notes in computer science. 13435. 725–734. 19 indexed citations

You, Haoxuan, Liunian Harold Li, Alireza Zareian, et al.. (2022). SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence. 36(5). 5914–5922. 19 indexed citations

Yin, Da, Liunian Harold Li, Ziniu Hu, Nanyun Peng, & Kai-Wei Chang. (2021). Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2115–2129. 21 indexed citations

Li, Liunian Harold, et al.. (2021). Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions. 5339–5350. 24 indexed citations

Li, Liunian Harold, et al.. (2021). BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. 3327–3336. 7 indexed citations

10.

Li, Liunian Harold, Mark Yatskar, Da Yin, Cho‐Jui Hsieh, & Kai-Wei Chang. (2020). What Does BERT with Vision Look At?. 5265–5275. 73 indexed citations

11.

Li, Liunian Harold, et al.. (2019). Efficient Contextual Representation Learning With Continuous Outputs. Transactions of the Association for Computational Linguistics. 7. 611–624. 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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