Conghui Zhu

619 total citations
34 papers, 239 citations indexed

About

Conghui Zhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Conghui Zhu has authored 34 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Conghui Zhu's work include Topic Modeling (22 papers), Natural Language Processing Techniques (22 papers) and Multimodal Machine Learning Applications (5 papers). Conghui Zhu is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (22 papers) and Multimodal Machine Learning Applications (5 papers). Conghui Zhu collaborates with scholars based in China, Japan and Austria. Conghui Zhu's co-authors include Tiejun Zhao, Bing Xu, Zhen Li, Dequan Zheng, Chaoqun Duan, Lemao Liu, Xinchi Chen, Lei Cui, Furu Wei and Tiejun Zhao and has published in prestigious journals such as IEEE Access, Sensors and Information Fusion.

In The Last Decade

Conghui Zhu

32 papers receiving 224 citations

Peers

Conghui Zhu
Qihuang Zhong China
Yunlong Liang China
Nikunj Saunshi United States
Gustavo Aguilar United States
Saab Mansour Germany
Adrià Giménez Spain
Yftah Ziser United Kingdom
Yubin Ge United States
Raj Dabre Japan
Qihuang Zhong China
Conghui Zhu
Citations per year, relative to Conghui Zhu Conghui Zhu (= 1×) peers Qihuang Zhong

Countries citing papers authored by Conghui Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Conghui Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conghui Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Conghui Zhu. A scholar is included among the top collaborators of Conghui Zhu 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 Conghui Zhu. Conghui Zhu 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.
Zhu, Conghui, et al.. (2025). Reshaping Word Embedding Space With Monolingual Synonyms for Bilingual Lexicon Induction. IEEE Transactions on Audio Speech and Language Processing. 33. 785–796.
2.
Chen, Kehai, et al.. (2024). Multi-view fusion for instruction mining of large language model. Information Fusion. 110. 102480–102480. 6 indexed citations
3.
Li, Zhen, Bing Xu, Conghui Zhu, & Tiejun Zhao. (2022). CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection. 2282–2294. 54 indexed citations
4.
Zhang, Yating, Xiaozhong Liu, Adam Jatowt, et al.. (2022). Toward automatic support for leading court debates: a novel task proposal & effective approach of judicial question generation. Neural Computing and Applications. 34(19). 16367–16385. 1 indexed citations
5.
6.
Bai, Yongqiang, et al.. (2022). Blind Image Quality Assessment of Screen Content Images via Fisher Vector Coding. IEEE Access. 10. 13174–13181. 1 indexed citations
7.
Liu, Lemao, et al.. (2021). Detecting Source Contextual Barriers for Understanding Neural Machine Translation. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 3158–3169. 2 indexed citations
8.
Yuan, Yan, et al.. (2020). Online Correction Method for the Registration Error between TSMFTIS Detector and Interferogram. Sensors. 20(4). 1195–1195. 2 indexed citations
9.
10.
Duan, Chaoqun, Lei Cui, Xinchi Chen, et al.. (2018). Attention-Fused Deep Matching Network for Natural Language Inference. 4033–4040. 35 indexed citations
11.
Yang, Muyun, et al.. (2018). Minimum Bayes-Risk Phrase Table Pruning for Pivot-Based Machine Translation in Internet of Things. IEEE Access. 6. 55754–55764. 2 indexed citations
12.
Zhu, Conghui, et al.. (2016). Semantic computation in geography question answering. 1572–1576. 2 indexed citations
13.
Zhu, Conghui, Taro Watanabe, Eiichiro Sumita, & Tiejun Zhao. (2013). Hierarchical Phrase Table Combination for Machine Translation. Meeting of the Association for Computational Linguistics. 1. 802–810. 1 indexed citations
14.
He, Zhongjun, et al.. (2013). Improving Pivot-Based Statistical Machine Translation Using Random Walk. 524–534. 10 indexed citations
15.
Liu, Lemao, et al.. (2012). Locally Training the Log-Linear Model for SMT. Empirical Methods in Natural Language Processing. 402–411. 15 indexed citations
16.
Liu, Lemao, et al.. (2012). Expected Error Minimization with Ultraconservative Update for SMT. International Conference on Computational Linguistics. 723–732. 2 indexed citations
17.
Yu, Mo, et al.. (2011). Semi-supervised Learning Framework for Cross-Lingual Projection. 213–216. 1 indexed citations
18.
Zhu, Conghui, et al.. (2011). Research on machine learning method-based combination forecasting model and its application. 1226–1231. 1 indexed citations
19.
Zhu, Conghui, Tiejun Zhao, & Dequan Zheng. (2010). Joint Chinese Word Segmentation and POS Tagging System with Undirected Graphical Models. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 32(3). 700–704. 4 indexed citations
20.
Zhu, Conghui, et al.. (2007). A Unified Tagging Approach to Text Normalization. National University of Singapore. 688–695. 13 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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