Xiaojie Wang

5.2k total citations · 2 hit papers
149 papers, 1.8k citations indexed

About

Xiaojie Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xiaojie Wang has authored 149 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 81 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Xiaojie Wang's work include Topic Modeling (52 papers), Natural Language Processing Techniques (38 papers) and Multimodal Machine Learning Applications (36 papers). Xiaojie Wang is often cited by papers focused on Topic Modeling (52 papers), Natural Language Processing Techniques (38 papers) and Multimodal Machine Learning Applications (36 papers). Xiaojie Wang collaborates with scholars based in China, United States and Japan. Xiaojie Wang's co-authors include Ruifan Li, Fangxiang Feng, Zhanyu Ma, Eduard Hovy, Hao Chen, Dong Xuan, Caixia Yuan, Chenfei Wu, Shibo Zhang and Peng Lu and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Xiaojie Wang

124 papers receiving 1.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Cross-modal Retrieval with Correspondence Autoencoder

2014 411 citations Fangxiang Feng, Xiaojie Wang et al. profile →
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

2021 219 citations Ruifan Li, Fangxiang Feng et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaojie Wang	1.0k	1000	122	110	85	149	1.8k
Chaoran Cui	612 0.6×	300 0.3×	98 0.8×	67 0.6×	121 1.4×	75	1.1k
Weili Guan	925 0.9×	664 0.7×	47 0.4×	62 0.6×	182 2.1×	88	1.5k
Donglin Cao	1.4k 1.4×	613 0.6×	35 0.3×	73 0.7×	157 1.8×	60	1.9k
Xiushan Nie	1.4k 1.4×	579 0.6×	31 0.3×	122 1.1×	36 0.4×	150	1.9k
Lantao Yu	664 0.7×	930 0.9×	79 0.6×	39 0.4×	230 2.7×	27	1.6k
Luis E. Ortiz	652 0.6×	346 0.3×	222 1.8×	19 0.2×	45 0.5×	43	1.3k
Philip Bachman	464 0.5×	1.0k 1.0×	67 0.5×	12 0.1×	110 1.3×	15	1.5k
Saad M. Darwish	302 0.3×	274 0.3×	51 0.4×	88 0.8×	189 2.2×	122	879
Ulf Brefeld	381 0.4×	891 0.9×	63 0.5×	54 0.5×	151 1.8×	64	1.4k

Countries citing papers authored by Xiaojie Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojie Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojie Wang. A scholar is included among the top collaborators of Xiaojie 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 Xiaojie Wang. Xiaojie Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Xiaojie, et al.. (2025). CT to ultrasound abdominal image synthesis using domain-constraint generative adversarial networks. Biomedical Signal Processing and Control. 110. 108344–108344. 1 indexed citations

Feng, Fangxiang, et al.. (2023). Whether you can locate or not? Interactive Referring Expression Generation. 4697–4706. 3 indexed citations

Hui, Binyuan, et al.. (2023). Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark. 3515–3533. 2 indexed citations

Wang, Deyuan, Tiantian Zhang, Caixia Yuan, & Xiaojie Wang. (2023). Joint Modeling for ASR Correction and Dialog State Tracking. 1. 1–5.

Zheng, Duo, Tao Kong, Ya Jing, Jiaan Wang, & Xiaojie Wang. (2022). Towards Unifying Reference Expression Generation and Comprehension. 6598–6611. 3 indexed citations

Chen, Hao, et al.. (2022). COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. 3230–3241. 14 indexed citations

Chen, Hao, et al.. (2022). Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2974–2985. 86 indexed citations

Zhao, Yu, et al.. (2020). Connecting Embeddings for Knowledge Graph Entity Typing. 6419–6428. 32 indexed citations

Wang, Xiaojie, et al.. (2019). Survey on Machine Reading Comprehension. Beijing Youdian Xueyuan xuebao. 42(6). 1. 2 indexed citations

10.

Wang, Yue, et al.. (2019). Video description with subject, verb and object supervision. 26(2). 52. 2 indexed citations

11.

Wang, Yue, et al.. (2019). Video description with integrated visual and textual information. China Communications. 16(1). 119–128.

12.

Wu, Chenfei, et al.. (2018). Chain of Reasoning for Visual Question Answering. Neural Information Processing Systems. 31. 273–283. 25 indexed citations

13.

Ming, Yue, Zhicheng Dou, Sha Hu, et al.. (2016). RUCIR at NTCIR-12 IMINE-2 Task.. NTCIR. 1 indexed citations

14.

Yuan, Caixia, et al.. (2010). EXPLOITING LEXICAL INFORMATION FOR FUNCTION TAG LABELING. International journal of innovative computing, information & control. 6(3). 1471–1480.

15.

He, Saike, et al.. (2010). Apply Normalized Accessor Variety in Chinese Word Segmentation. Zhongwen xinxi xuebao. 24(1). 1 indexed citations

16.

Wang, Xiaojie. (2010). Modular PCA based on Within-Class median for face recognition. 14. 52–56. 6 indexed citations

17.

He, Saike, et al.. (2009). Multi-Task Learning in Conditional Random Fields for Chunking in Shallow Semantic Parsing. Pacific Asia Conference on Language, Information, and Computation. 180–189. 1 indexed citations

18.

Qin, Ying, et al.. (2008). BUPT Systems in the SIGHAN Bakeoff 2007. International Joint Conference on Natural Language Processing. 94–97. 3 indexed citations

19.

Zhang, Suxiang, Ying Qin, Juan Wen, & Xiaojie Wang. (2006). Word Segmentation and Named Entity Recognition for SIGHAN Bakeoff3. Meeting of the Association for Computational Linguistics. 158–161. 39 indexed citations

20.

Yuan, Caixia, et al.. (2006). Some Improvements on Maximum Entropy Based Chinese POS Tagging. The Journal of China Universities of Posts and Telecommunications. 13. 99–103. 2 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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