Jheng-Hong Yang

987 total citations
14 papers, 479 citations indexed

About

Jheng-Hong Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jheng-Hong Yang has authored 14 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Jheng-Hong Yang's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (5 papers). Jheng-Hong Yang is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (5 papers). Jheng-Hong Yang collaborates with scholars based in Canada, Taiwan and United States. Jheng-Hong Yang's co-authors include Jimmy Lin, Sheng-Chieh Lin, Chuan‐Ju Wang, Ming-Feng Tsai, Rodrigo Nogueira, Chih-Ming Chen, Ronak Pradeep, Xueguang Ma, Yuqing Xie and Wei Zhong and has published in prestigious journals such as ACM Transactions on Information Systems, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Text REtrieval Conference.

In The Last Decade

Jheng-Hong Yang

14 papers receiving 453 citations

Peers

Countries citing papers authored by Jheng-Hong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jheng-Hong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jheng-Hong Yang. 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 Jheng-Hong Yang. The network helps show where Jheng-Hong Yang may publish in the future.

Co-authorship network of co-authors of Jheng-Hong Yang

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses 2024 ·Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin	2
2	One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search 2023 ·Wei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin	2
3	AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation 2023 ·Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, (unknown), Мириам Реди, Stéphane Clinchant, Jimmy Lin	2
4	Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval 2022 ·(unknown), Jheng-Hong Yang, Yuqing Xie, Jimmy Lin	9
5	In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval 2021 ·Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin	79
6	Contextualized Query Embeddings for Conversational Search 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin	27
7	Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting 2021 ·ACM Transactions on Information Systems ·Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan‐Ju Wang, Jimmy Lin	33
8	Text-to-Text Multi-view Learning for Passage Re-ranking 2021 ·(unknown), Jheng-Hong Yang, Chuan‐Ju Wang	9
9	Chatty Goose: A Python Framework for Conversational Search 2021 ·Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin	2
10	Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations 2021 ·Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira	179
11	TREC 2020 Notebook: CAsT Track. 2020 ·Text REtrieval Conference ·Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin	2
12	Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models 2020 ·Jheng-Hong Yang, Sheng-Chieh Lin, Rodrigo Nogueira, Ming-Feng Tsai, Chuan‐Ju Wang, Jimmy Lin	2
13	Query and Answer Expansion from Conversation History. 2019 ·Text REtrieval Conference ·Jheng-Hong Yang, Sheng-Chieh Lin, Chuan‐Ju Wang, Jimmy Lin, Ming-Feng Tsai	5
14	HOP-rec 2018 ·Jheng-Hong Yang, Chih-Ming Chen, Chuan‐Ju Wang, Ming-Feng Tsai	126

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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