Zhen Hai

655 total citations
17 papers, 289 citations indexed

About

Zhen Hai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhen Hai has authored 17 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhen Hai's work include Sentiment Analysis and Opinion Mining (10 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (5 papers). Zhen Hai is often cited by papers focused on Sentiment Analysis and Opinion Mining (10 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (5 papers). Zhen Hai collaborates with scholars based in Singapore, China and Cayman Islands. Zhen Hai's co-authors include Kuiyu Chang, Gao Cong, Christopher C. Yang, Jung‐Jae Kim, Cheng Peng, Chunyan Miao, Xiaoli Li, Peilin Zhao, Guangxia Li and Peng Yang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology and Patterns.

In The Last Decade

Zhen Hai

17 papers receiving 269 citations

Peers

Zhen Hai

AI

IS

SPS

MSOR

SP

Carmine Cesarano Italy

Hristo Tanev Italy

Kavita Ganesan United States

Md Mehrab Tanjim United States

Huyen Trang Phan Poland

Faiçal Azouaou Algeria

Liliana Chanona-Hernández Mexico

Jesús Vilares Spain

Nikesh Garera United States

Kiyonori Ohtake Japan

Carmine Cesarano Italy

Zhen Hai

226 ×0.9

AI

73 ×0.7

IS

31 ×0.6

SPS

17 ×0.8

MSOR

10 ×0.6

SP

Citations per year, relative to Zhen Hai Zhen Hai (= 1×) peers Carmine Cesarano

Countries citing papers authored by Zhen Hai

Since Specialization

Citations

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

Fields of papers citing papers by Zhen Hai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Hai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Hai. A scholar is included among the top collaborators of Zhen Hai 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 Zhen Hai. Zhen Hai 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

1.

Nguyen, T. Q., et al.. (2023). Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. 1670–1696. 2 indexed citations

2.

Yao, Dezhong, et al.. (2023). Mining Geospatial Relationships from Text. Proceedings of the ACM on Management of Data. 1(1). 1–26. 7 indexed citations

3.

Yao, Dezhong, et al.. (2022). Geospatial Entity Resolution. Proceedings of the ACM Web Conference 2022. 3061–3070. 8 indexed citations

4.

Nguyen, T. Q., Xiaobao Wu, Anh Tuan Luu, Zhen Hai, & Lidong Bing. (2022). Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. 10085–10096. 3 indexed citations

5.

Hai, Zhen, et al.. (2021). Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews. 5927–5936. 5 indexed citations

6.

Chen, Xin, et al.. (2021). Jointly Identifying Rhetoric and Implicit Emotions via Multi-Task Learning. 1429–1434. 3 indexed citations

7.

Wang, Shuliang, et al.. (2020). Global and Local Tensor Factorization for Multi-criteria Recommender System. Patterns. 1(2). 100023–100023. 10 indexed citations

8.

Hai, Zhen, et al.. (2020). Deterministic Inference of Topic Models via Maximal Latent State Replication. IEEE Transactions on Knowledge and Data Engineering. 34(4). 1684–1695. 4 indexed citations

9.

Hai, Zhen, Gao Cong, Kuiyu Chang, Cheng Peng, & Chunyan Miao. (2017). Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach. IEEE Transactions on Knowledge and Data Engineering. 29(6). 1172–1185. 44 indexed citations

10.

Yang, Peng, Peilin Zhao, Zhen Hai, et al.. (2016). Efficient multi-class selective sampling on graphs. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 805–814. 3 indexed citations

11.

Hai, Zhen, Peilin Zhao, Cheng Peng, et al.. (2016). Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data. 38 indexed citations

12.

Hai, Zhen, Kuiyu Chang, Gao Cong, & Christopher C. Yang. (2015). An Association-Based Unified Framework for Mining Features and Opinion Words. ACM Transactions on Intelligent Systems and Technology. 6(2). 1–21. 16 indexed citations

13.

Hai, Zhen, Kuiyu Chang, Jung‐Jae Kim, & Christopher C. Yang. (2014). Identifying Features in Opinion Mining via Intrinsic and Extrinsic Domain Relevance. IEEE Transactions on Knowledge and Data Engineering. 26(3). 623–634. 88 indexed citations

14.

Hai, Zhen, Gao Cong, Kuiyu Chang, Wenting Liu, & Cheng Peng. (2014). Coarse-to-fine review selection via supervised joint aspect and sentiment model. 7. 617–626. 17 indexed citations

15.

Hai, Zhen, Kuiyu Chang, & Gao Cong. (2012). One seed to find them all. DR-NTU (Nanyang Technological University). 255–264. 36 indexed citations

16.

He, Liang, Qinbao Song, Junyi Shen, & Zhen Hai. (2010). Ensemble Numeric Prediction of Nearest-Neighbor Learning. Information Technology Journal. 9(3). 535–544. 4 indexed citations

17.

Hai, Zhen, Kuiyu Chang, Qinbao Song, & Jung‐Jae Kim. (2010). A Statistical NLP Approach for Feature and Sentiment Identification from Chinese Reviews. 1 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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