Kai Hui

764 total citations
25 papers, 288 citations indexed

About

Kai Hui is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Kai Hui has authored 25 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Kai Hui's work include Topic Modeling (17 papers), Information Retrieval and Search Behavior (6 papers) and Natural Language Processing Techniques (5 papers). Kai Hui is often cited by papers focused on Topic Modeling (17 papers), Information Retrieval and Search Behavior (6 papers) and Natural Language Processing Techniques (5 papers). Kai Hui collaborates with scholars based in Germany, China and United States. Kai Hui's co-authors include Ben He, Le Sun, Andrew Yates, Cancan Jin, Klaus Berberich, Gerard de Melo, Honglei Zhuang, Xuanhui Wang, Michael Bendersky and Zhen Qin and has published in prestigious journals such as Separation and Purification Technology, Applied Sciences and Information Processing & Management.

In The Last Decade

Kai Hui

21 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Hui Germany 8 228 103 46 21 12 25 288
Shengyao Zhuang Australia 9 183 0.8× 93 0.9× 70 1.5× 21 1.0× 7 0.6× 32 242
Peilin Zhou China 10 145 0.6× 83 0.8× 33 0.7× 16 0.8× 2 0.2× 22 229
Mohamad Syahrul Mubarok Indonesia 10 241 1.1× 150 1.5× 15 0.3× 7 0.3× 3 0.3× 32 334
Nabil Alami Morocco 9 222 1.0× 71 0.7× 20 0.4× 13 0.6× 22 275
Swarnadeep Saha United States 7 201 0.9× 42 0.4× 35 0.8× 20 1.0× 14 228
Joan Santoso Indonesia 9 197 0.9× 103 1.0× 21 0.5× 19 0.9× 2 0.2× 53 265
Jie Zou China 10 140 0.6× 161 1.6× 18 0.4× 12 0.6× 1 0.1× 29 253
Keping Bi China 5 107 0.5× 93 0.9× 33 0.7× 8 0.4× 14 153
Anh-Cuong Le Vietnam 8 254 1.1× 61 0.6× 23 0.5× 19 0.9× 32 303
Yassine Al-Amrani Morocco 5 204 0.9× 97 0.9× 10 0.2× 20 1.0× 10 270

Countries citing papers authored by Kai Hui

Since Specialization
Citations

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

Fields of papers citing papers by Kai Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Hui

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

All Works

20 of 20 papers shown
1.
Zhuang, Honglei, Zhen Qin, Kai Hui, et al.. (2024). Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. 358–370. 11 indexed citations
2.
Zhuang, Honglei, Kai Hui, Zhen Qin, et al.. (2024). Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?. 2321–2326.
3.
4.
Qin, Zhen, Rolf Jagerman, Kai Hui, et al.. (2024). Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. 1504–1518. 46 indexed citations
5.
Hui, Kai, et al.. (2024). Iron-based biochar materials for phosphorus recovery from agricultural runoff: Mechanism and potential application as a slow-release fertilizer. Separation and Purification Technology. 347. 127597–127597. 13 indexed citations
6.
Zhuang, Honglei, Zhen Qin, Rolf Jagerman, et al.. (2023). RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. 2308–2313. 23 indexed citations
7.
Hui, Kai, et al.. (2022). Transformer Memory as a Differentiable Search Index. 21831–21843.
8.
He, Ben, et al.. (2021). Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval. 1617–1621. 2 indexed citations
9.
Hui, Kai, et al.. (2021). Question Answering using Web Lists. 1. 3132–3136. 1 indexed citations
10.
Zheng, Zhi, Kai Hui, Ben He, et al.. (2020). BERT-QE: Contextualized Query Expansion for Document Re-ranking. 4718–4728. 34 indexed citations
11.
Jin, Cancan, Ben He, Kai Hui, & Le Sun. (2018). TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring. 1088–1097. 61 indexed citations
12.
He, Ben, et al.. (2018). Neural Relevance Model Using Similarities with Elite Documents for Effective Clinical Decision Support. International Journal of Data Mining and Bioinformatics. 20(2). 91–108. 2 indexed citations
13.
MacAvaney, Sean, Andrew Yates, Arman Cohan, et al.. (2018). Overcoming low-utility facets for complex answer retrieval. Information Retrieval. 22(3-4). 395–418. 4 indexed citations
14.
He, Ben, et al.. (2018). Neural relevance model using similarities with elite documents for effective clinical decision support. International Journal of Data Mining and Bioinformatics. 20(2). 91–91. 3 indexed citations
15.
MacAvaney, Sean, Andrew Yates, & Kai Hui. (2017). Contextualized PACRR for Complex Answer Retrieval.. Text REtrieval Conference. 2 indexed citations
16.
Hui, Kai, Andrew Yates, Klaus Berberich, & Gerard de Melo. (2017). Position-Aware Representations for Relevance Matching in Neural Information Retrieval. 799–800. 7 indexed citations
17.
Hui, Kai, Klaus Berberich, & Ida Mele. (2017). Dealing with Incomplete Judgments in Cascade Measures. 83–90. 1 indexed citations
18.
Hui, Kai. (2014). Towards Robust & Reusable Evaluation for Novelty & Diversity. 9–17. 1 indexed citations
19.
Zhang, Xin, Kai Hui, Ben He, & Tiejian Luo. (2011). GUCAS at TREC 2011 Microblog Track.. Text REtrieval Conference. 2 indexed citations
20.
Hui, Kai, Ben He, Tiejian Luo, & Bin Wang. (2011). Relevance weighting using within-document term statistics. 99–104. 2 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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