Baoxun Wang

997 total citations
33 papers, 578 citations indexed

About

Baoxun Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Baoxun Wang has authored 33 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 10 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Baoxun Wang's work include Topic Modeling (24 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (9 papers). Baoxun Wang is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (12 papers) and Speech and dialogue systems (9 papers). Baoxun Wang collaborates with scholars based in China, Netherlands and Canada. Baoxun Wang's co-authors include Xiaolong Wang, Chengjie Sun, Bingquan Liu, Yuanchao Liu, Xin Wang, Zhen Xu, Lin Sun, Zhuoran Wang, Chao Qi and Min Zhang and has published in prestigious journals such as Small, Neurocomputing and Marine Drugs.

In The Last Decade

Baoxun Wang

33 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baoxun Wang China 13 497 149 54 27 22 33 578
Michel Buffa France 8 83 0.2× 64 0.4× 59 1.1× 25 0.9× 20 0.9× 29 228
Fumiyo Fukumoto Japan 10 331 0.7× 113 0.8× 42 0.8× 17 0.6× 18 0.8× 62 393
Luu Anh Tuan Singapore 12 432 0.9× 93 0.6× 68 1.3× 14 0.5× 8 0.4× 31 497
Peng Qi China 7 557 1.1× 80 0.5× 63 1.2× 16 0.6× 64 2.9× 24 635
Dheeraj Rajagopal United States 8 486 1.0× 67 0.4× 128 2.4× 14 0.5× 11 0.5× 18 563
Danilo Dessı̀ Italy 9 187 0.4× 66 0.4× 26 0.5× 30 1.1× 29 1.3× 34 285
Gawesh Jawaheer United Kingdom 7 92 0.2× 191 1.3× 76 1.4× 22 0.8× 22 1.0× 13 298
Ganggao Zhu Spain 5 311 0.6× 58 0.4× 28 0.5× 10 0.4× 44 2.0× 6 373
Minlong Peng China 9 484 1.0× 77 0.5× 61 1.1× 5 0.2× 20 0.9× 21 556

Countries citing papers authored by Baoxun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baoxun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Baoxun Wang. A scholar is included among the top collaborators of Baoxun 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 Baoxun Wang. Baoxun 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.
Qi, Shi-ang, et al.. (2023). ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. 13610–13624. 15 indexed citations
2.
Liu, Bingquan, et al.. (2023). CroMIC-QA: The Cross-Modal Information Complementation Based Question Answering. IEEE Transactions on Multimedia. 26. 8348–8359. 1 indexed citations
3.
Wang, Baoxun, et al.. (2022). Jeotgalibacillus aurantiacus sp. nov., a novel orange-pigmented species with a carotenoid biosynthetic gene cluster, isolated from wetland soil. Antonie van Leeuwenhoek. 115(6). 773–782. 1 indexed citations
4.
Zhang, Pei, Chunyang Du, Tianhe Huang, et al.. (2022). Surface Adsorption‐Mediated Ultrahigh Efficient Peptide Encapsulation with a Precise Ratiometric Control for Type 1 and 2 Diabetic Therapy. Small. 18(15). e2200449–e2200449. 10 indexed citations
5.
Wang, Baoxun, et al.. (2022). Domain adaptive multi-task transformer for low-resource machine reading comprehension. Neurocomputing. 509. 46–55. 4 indexed citations
6.
Li, Ying, et al.. (2022). Semorph: A Morphology Semantic Enhanced Pre-trained Model for Chinese Spam Text Detection. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 1003–1013. 3 indexed citations
7.
Zhang, Huan, et al.. (2020). Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation. 70–79. 2 indexed citations
8.
Xu, Zhen, Chengjie Sun, Bingquan Liu, et al.. (2019). Dynamic Working Memory for Context-Aware Response Generation. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(9). 1419–1431. 6 indexed citations
9.
Wang, Zongsheng, et al.. (2018). Enhancing generative conversational service agents with dialog history and external knowledge. Computer Speech & Language. 54. 71–85. 19 indexed citations
10.
Xu, Zhen, Nan Jiang, Bingquan Liu, et al.. (2018). LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics. 2070–2080. 5 indexed citations
11.
Wang, Xin, Jianan Wang, Yuanchao Liu, et al.. (2017). Predicting Users' Negative Feedbacks in Multi-Turn Human-Computer Dialogues. International Joint Conference on Natural Language Processing. 1. 713–722. 2 indexed citations
12.
Wang, Baoxun, et al.. (2016). Ranking Responses Oriented to Conversational Relevance in Chat-bots.. International Conference on Computational Linguistics. 652–662. 15 indexed citations
13.
Xu, Zhen, Bingquan Liu, Baoxun Wang, Chengjie Sun, & Xiaolong Wang. (2016). Incorporating Loose-Structured Knowledge into LSTM with Recall Gate for Conversation Modeling.. 32 indexed citations
14.
Wang, Xin, Yuanchao Liu, Chengjie Sun, Baoxun Wang, & Xiaolong Wang. (2015). Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory. 1343–1353. 180 indexed citations
15.
Hu, Haifeng, Bingquan Liu, Baoxun Wang, Ming Liu, & Xiaolong Wang. (2013). Multimodal DBN for Predicting High-Quality Answers in cQA portals. Meeting of the Association for Computational Linguistics. 843–847. 25 indexed citations
16.
Liu, Feng, Bingquan Liu, Xiaolong Wang, Ming Liu, & Baoxun Wang. (2012). Features for link prediction in social networks: A comprehensive study. 1. 1706–1711. 6 indexed citations
17.
Wang, Baoxun, Bingquan Liu, Xiaolong Wang, Chengjie Sun, & Deyuan Zhang. (2011). Deep Learning Approaches to Semantic Relevance Modeling for Chinese Question-Answer Pairs. ACM Transactions on Asian Language Information Processing. 10(4). 1–16. 18 indexed citations
18.
Wang, Baoxun, Xiaolong Wang, Chengjie Sun, Bingquan Liu, & Lin Sun. (2010). Modeling Semantic Relevance for Question-Answer Pairs in Web Social Communities. Meeting of the Association for Computational Linguistics. 1230–1238. 39 indexed citations
19.
Wang, Baoxun, Bingquan Liu, Chengjie Sun, Xiaolong Wang, & Lin Sun. (2009). Extracting Chinese question-answer pairs from online forums. 1159–1164. 17 indexed citations
20.
Wang, Baoxun. (2007). A Classification Method for Imbalance Data Set Based on Hybrid Strategy. Dianzi xuebao. 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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