Zhiguo Wang

4.5k total citations · 1 hit paper
43 papers, 1.6k citations indexed

About

Zhiguo Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zhiguo Wang has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Zhiguo Wang's work include Topic Modeling (35 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (11 papers). Zhiguo Wang is often cited by papers focused on Topic Modeling (35 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (11 papers). Zhiguo Wang collaborates with scholars based in United States, China and Singapore. Zhiguo Wang's co-authors include Radu Florian, Wael Hamza, Bing Xiang, Ramesh Nallapati, Linfeng Song, Daniel Gildea, Yue Zhang, Haitao Mi, Patrick Ng and Abe Ittycheriah and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Neural Networks and Optics & Laser Technology.

In The Last Decade

Zhiguo Wang

39 papers receiving 1.5k citations

Hit Papers

Bilateral Multi-Perspective Matching for Natural Language... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bilateral Multi-Perspective Matching for Natural Language Sentences
    2017 380 citations Zhiguo Wang et al. profile →

Peers

Zhiguo Wang
Abigail See United States
Peter J. Liu United States
Tushar Khot United States
Xinyan Xiao China
Radu Florian United States
Matt Gardner United States
Chris Alberti United States
Masaaki Nagata Japan
Ulf Hermjakob United States
Abigail See United States
Zhiguo Wang
Citations per year, relative to Zhiguo Wang Zhiguo Wang (= 1×) peers Abigail See

Countries citing papers authored by Zhiguo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhiguo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiguo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiguo Wang. A scholar is included among the top collaborators of Zhiguo Wang 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 Zhiguo Wang. Zhiguo Wang 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.
Qin, Tian, Xiaoyuan Ji, Zeming Wang, et al.. (2025). DBSCAN clustering model for parameter inversion using laser cutting edge morphology characteristic in Zr-4 alloy. Optics & Laser Technology. 184. 112461–112461. 2 indexed citations
2.
Wang, Zhiguo, et al.. (2025). Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data. Neural Networks. 187. 107345–107345. 1 indexed citations
3.
4.
Hu, Yiqun, Yiyun Zhao, Wuwei Lan, et al.. (2023). Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. 1327–1343. 9 indexed citations
5.
Wang, Jun, Patrick Ng, Zhiguo Wang, et al.. (2022). Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. 306–312. 1 indexed citations
6.
Ng, Patrick, et al.. (2021). Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering. 4078–4088. 13 indexed citations
7.
Shakeri, Siamak, Cícero Nogueira dos Santos, Henghui Zhu, et al.. (2020). End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. 5445–5460. 36 indexed citations
8.
Wang, Shen, Xiaokai Wei, Cícero Nogueira dos Santos, et al.. (2020). H2KGAT: Hierarchical hyperbolic knowledge graph attention network. Empirical Methods in Natural Language Processing. 4952–4962. 2 indexed citations
9.
Ma, Xiaofei, Peng Xu, Zhiguo Wang, Ramesh Nallapati, & Bing Xiang. (2019). Domain Adaptation with BERT-based Domain Classification and Data Selection. 76–83. 54 indexed citations
10.
Xu, Kun, Yuxuan Lai, Yansong Feng, & Zhiguo Wang. (2019). Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering. 54 indexed citations
11.
Song, Linfeng, Yue Zhang, Zhiguo Wang, & Daniel Gildea. (2018). A Graph-to-Sequence Model for AMR-to-Text Generation. 1616–1626. 112 indexed citations
12.
Xu, Kun, Lingfei Wu, Zhiguo Wang, Yansong Feng, & Vadim Sheinin. (2018). SQL-to-Text Generation with Graph-to-Sequence Model. 931–936. 43 indexed citations
13.
Wang, Shuohang, Mo Yu, Xiaoxiao Guo, et al.. (2018). R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 5981–5988. 88 indexed citations
14.
Xu, Kun, Lingfei Wu, Zhiguo Wang, et al.. (2018). Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. 918–924. 39 indexed citations
15.
Song, Linfeng, Yue Zhang, Zhiguo Wang, & Daniel Gildea. (2018). N-ary Relation Extraction using Graph-State LSTM. 2226–2235. 96 indexed citations
16.
Wang, Shuohang, Mo Yu, Jing Jiang, et al.. (2017). Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1. 49 indexed citations
17.
Lee, Young‐Suk & Zhiguo Wang. (2016). Language Independent Dependency to Constituent Tree Conversion. International Conference on Computational Linguistics. 421–428. 1 indexed citations
18.
Wang, Zhiguo, Haitao Mi, & Abraham Ittycheriah. (2016). Sentence Similarity Learning by Lexical Decomposition and Composition. International Conference on Computational Linguistics. 1340–1349. 34 indexed citations
19.
Wang, Zhiguo & Chengqing Zong. (2010). Phrase Structure Parsing with Dependency Structure. International Conference on Computational Linguistics. 1292–1300. 12 indexed citations
20.
Tan, Xiaoqing & Zhiguo Wang. (2008). A New (t, n) Multi-Secret Sharing Scheme. 861–865. 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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