Xiting Wang

1.9k total citations
33 papers, 1.2k citations indexed

About

Xiting Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xiting Wang has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Xiting Wang's work include Topic Modeling (14 papers), Data Visualization and Analytics (10 papers) and Recommender Systems and Techniques (7 papers). Xiting Wang is often cited by papers focused on Topic Modeling (14 papers), Data Visualization and Analytics (10 papers) and Recommender Systems and Techniques (7 papers). Xiting Wang collaborates with scholars based in China, United States and United Kingdom. Xiting Wang's co-authors include Shi‐Xia Liu, Xing Xie, Jun Zhu, Mengchen Liu, Baining Guo, Jingyue Gao, Yasha Wang, Jianfei Chen, Enhong Chen and Zhongxia Chen and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Visualization and Computer Graphics and Cancer Cell International.

In The Last Decade

Xiting Wang

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiting Wang China 18 802 480 379 86 84 33 1.2k
Yelong Shen United States 17 1.4k 1.8× 532 1.1× 477 1.3× 96 1.1× 78 0.9× 50 1.8k
Xia Lin United States 16 533 0.7× 288 0.6× 369 1.0× 46 0.5× 86 1.0× 75 1.0k
Ting Liu China 20 1.6k 1.9× 281 0.6× 256 0.7× 87 1.0× 39 0.5× 95 2.0k
Aliaksei Severyn Italy 18 1.7k 2.1× 289 0.6× 509 1.3× 64 0.7× 52 0.6× 30 1.9k
Mark Carman Australia 19 1.1k 1.3× 251 0.5× 537 1.4× 84 1.0× 88 1.0× 79 1.6k
Clare R. Voss United States 18 1.2k 1.5× 145 0.3× 311 0.8× 125 1.5× 79 0.9× 76 1.4k
Liang Gou United States 18 709 0.9× 435 0.9× 242 0.6× 50 0.6× 294 3.5× 43 1.2k
Pipei Huang China 7 549 0.7× 299 0.6× 654 1.7× 120 1.4× 58 0.7× 10 952
David Pinto Mexico 18 857 1.1× 124 0.3× 365 1.0× 85 1.0× 42 0.5× 111 1.2k

Countries citing papers authored by Xiting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiting Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiting Wang. A scholar is included among the top collaborators of Xiting 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 Xiting Wang. Xiting 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.
Liu, Meng, et al.. (2025). Artificial intelligence accelerates the identification of nature-derived potent LOXL2 inhibitors. Scientific Reports. 15(1). 10540–10540.
2.
Guo, Rong, Xiting Wang, Ming Li, et al.. (2025). Prognostic value of a lncRNA signature in early-stage invasive breast cancer patients. Cancer Cell International. 25(1). 233–233.
3.
Wang, Xiting, et al.. (2024). Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model. 1678–1706. 3 indexed citations
4.
Wang, Xiting, Ting-En Lin, Yuchuan Wu, et al.. (2024). Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. 5872–5900. 3 indexed citations
5.
Chen, Xu, et al.. (2024). See or Guess: Counterfactually Regularized Image Captioning. 965–974. 2 indexed citations
6.
Du, Yuntao, Jianxun Lian, Xiting Wang, et al.. (2023). Towards Explainable Collaborative Filtering with Taste Clusters Learning. arXiv (Cornell University). 3712–3722. 4 indexed citations
7.
Han, Sungwon, Fangzhao Wu, Sundong Kim, et al.. (2023). DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. 3766–3774. 3 indexed citations
8.
Yi, Xiaoyuan, et al.. (2023). DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. 8760–8785. 2 indexed citations
9.
Li, Zhen, Xiting Wang, Weikai Yang, et al.. (2022). A Unified Understanding of Deep NLP Models for Text Classification. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4980–4994. 33 indexed citations
10.
Ao, Xiang, Xiting Wang, Ling Luo, et al.. (2021). PENS: A Dataset and Generic Framework for Personalized News Headline Generation. 82–92. 17 indexed citations
11.
Chen, Changjian, Zhaowei Wang, Jing Wu, et al.. (2021). Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Transactions on Visualization and Computer Graphics. 27(9). 3701–3716. 27 indexed citations
12.
Chen, Zhongxia, et al.. (2020). Towards Explainable Conversational Recommendation. 2994–3000. 33 indexed citations
13.
Wang, Xiting, et al.. (2020). Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. 239–248. 74 indexed citations
14.
Wang, Xiting, et al.. (2019). Towards a Deep and Unified Understanding of Deep Neural Models in NLP. International Conference on Machine Learning. 2454–2463. 43 indexed citations
15.
Gao, Jingyue, et al.. (2019). STAR. 1903–1912. 6 indexed citations
16.
Gao, Jingyue, Xiting Wang, Yasha Wang, & Xing Xie. (2019). Explainable Recommendation through Attentive Multi-View Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3622–3629. 87 indexed citations
17.
18.
Liu, Shi‐Xia, Xiting Wang, Mengchen Liu, & Jun Zhu. (2017). Towards better analysis of machine learning models: A visual analytics perspective. Visual Informatics. 1(1). 48–56. 257 indexed citations
19.
Cui, Weiwei, Xiting Wang, Shi‐Xia Liu, et al.. (2014). Let It Flow: A Static Method for Exploring Dynamic Graphs. 121–128. 29 indexed citations
20.
Liu, Shi‐Xia, et al.. (2014). TopicPanorama: A full picture of relevant topics. 183–192. 52 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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