Xiaojun Chen

1.1k total citations · 1 hit paper
13 papers, 642 citations indexed

About

Xiaojun Chen is a scholar working on Artificial Intelligence, Management Science and Operations Research and Health Information Management. According to data from OpenAlex, Xiaojun Chen has authored 13 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 1 paper in Health Information Management. Recurrent topics in Xiaojun Chen's work include Advanced Graph Neural Networks (9 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Xiaojun Chen is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Topic Modeling (7 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Xiaojun Chen collaborates with scholars based in China and Australia. Xiaojun Chen's co-authors include Shengbin Jia, Yang Xiang, Ling Ding, Yang Xiang, Chen Wang, Zhong Ming, Feiping Nie, Bingkun Chen, Bo Wang and Hong Shen and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neural Networks.

In The Last Decade

Xiaojun Chen

12 papers receiving 627 citations

Hit Papers

align trajectories

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.

A review: Knowledge reasoning over knowledge graph

2019 581 citations Xiaojun Chen, Shengbin Jia et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaojun Chen China	6	402	99	88	68	49	13	642
Shengbin Jia China	6	434 1.1×	113 1.1×	94 1.1×	65 1.0×	67 1.4×	11	696
Yufei Wang China	12	457 1.1×	82 0.8×	58 0.7×	88 1.3×	56 1.1×	67	784
Ruizhang Huang China	16	595 1.5×	114 1.2×	109 1.2×	129 1.9×	44 0.9×	72	863
Efendi Nasıbov Türkiye	13	300 0.7×	61 0.6×	170 1.9×	95 1.4×	67 1.4×	72	726
Alireza Moayedikia Australia	13	220 0.5×	70 0.7×	42 0.5×	86 1.3×	30 0.6×	17	428
Ibrahim El-Henawy Egypt	11	394 1.0×	70 0.7×	51 0.6×	107 1.6×	44 0.9×	24	631
Lixin Cui China	16	355 0.9×	82 0.8×	58 0.7×	141 2.1×	36 0.7×	50	666
Xiaoli Wang China	14	236 0.6×	123 1.2×	76 0.9×	67 1.0×	41 0.8×	78	583
Sławomir T. Wierzchoń Poland	15	256 0.6×	60 0.6×	90 1.0×	71 1.0×	32 0.7×	44	597
Yinan Shao China	8	262 0.7×	107 1.1×	32 0.4×	62 0.9×	27 0.6×	11	429

Countries citing papers authored by Xiaojun Chen

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojun Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Chen

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

All Works

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13 of 13 papers shown

1.

Li, Xiaowei, Jiexin Lu, Liping Qiu, et al.. (2024). ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9350–9358.

2.

Zhang, Qin, et al.. (2023). G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. Griffith Research Online (Griffith University, Queensland, Australia). 4576–4583. 3 indexed citations

3.

Chen, Xiaojun, et al.. (2023). Generalized heterophily graph data augmentation for node classification. Neural Networks. 168. 339–349. 9 indexed citations

4.

Ding, Ling, Xiaojun Chen, Jian Wei, & Yang Xiang. (2023). MABERT: Mask-Attention-Based BERT for Chinese Event Extraction. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(7). 1–21. 4 indexed citations

5.

Jia, Shengbin, et al.. (2022). Hybrid neural tagging model for open relation extraction. Expert Systems with Applications. 200. 116951–116951. 9 indexed citations

6.

Chen, Xiaojun, Shengbin Jia, Ling Ding, & Yang Xiang. (2021). Reasoning over temporal knowledge graph with temporal consistency constraints. Journal of Intelligent & Fuzzy Systems. 40(6). 11941–11950. 5 indexed citations

7.

Wang, Chen, Xiaojun Chen, Bingkun Chen, et al.. (2021). Learning unsupervised node representation from multi-view network. Information Sciences. 579. 700–716. 13 indexed citations

8.

Ding, Ling, Xiaojun Chen, & Yang Xiang. (2021). Negative-supervised capsule graph neural network for few-shot text classification. Journal of Intelligent & Fuzzy Systems. 41(6). 6875–6887. 1 indexed citations

9.

Chen, Xiaojun, Ling Ding, & Yang Xiang. (2021). Neighborhood aggregation based graph attention networks for open-world knowledge graph reasoning. Journal of Intelligent & Fuzzy Systems. 41(2). 3797–3808. 2 indexed citations

10.

Chen, Xiaojun, Shengbin Jia, Ling Ding, Hong Shen, & Yang Xiang. (2020). SDT: An integrated model for open-world knowledge graph reasoning. Expert Systems with Applications. 162. 113889–113889. 12 indexed citations

11.

Chen, Xiaojun, Shengbin Jia, & Yang Xiang. (2019). A review: Knowledge reasoning over knowledge graph. Expert Systems with Applications. 141. 112948–112948. 581 indexed citations breakdown →

12.

Jia, Shengbin, et al.. (2018). TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs.. arXiv (Cornell University). 2 indexed citations

13.

Myers, James, et al.. (1999). Tone Sandhi as Evidence for Segmenta- tion in Taiwanese. Biomolecules. 11(5). 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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