Xiaolong Jin

4.3k total citations · 2 hit papers
97 papers, 2.5k citations indexed

About

Xiaolong Jin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Xiaolong Jin has authored 97 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 15 papers in Management Science and Operations Research. Recurrent topics in Xiaolong Jin's work include Topic Modeling (38 papers), Advanced Graph Neural Networks (32 papers) and Natural Language Processing Techniques (13 papers). Xiaolong Jin is often cited by papers focused on Topic Modeling (38 papers), Advanced Graph Neural Networks (32 papers) and Natural Language Processing Techniques (13 papers). Xiaolong Jin collaborates with scholars based in China, United Kingdom and Hong Kong. Xiaolong Jin's co-authors include Xueqi Cheng, Yuanzhuo Wang, Huawei Shen, Benjamin W. Wah, Tong Man, Saiping Guan, Jiafeng Guo, Yantao Jia, Zixuan Li and Geyong Min and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Xiaolong Jin

90 papers receiving 2.4k 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.

Significance and Challenges of Big Data Research

2015 500 citations Xiaolong Jin, Xueqi Cheng et al. profile →
Cross-Domain Recommendation: An Embedding and Mapping Approach

2017 244 citations Tong Man, Huawei Shen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaolong Jin China	24	1.5k	652	387	349	312	97	2.5k
Yuanzhuo Wang China	22	1.1k 0.7×	408 0.6×	313 0.8×	206 0.6×	215 0.7×	127	2.0k
Cuiping Li China	23	1.2k 0.8×	684 1.0×	263 0.7×	220 0.6×	291 0.9×	120	2.1k
Li Ding United States	27	1.4k 0.9×	1.1k 1.6×	357 0.9×	266 0.8×	129 0.4×	103	2.4k
Gongqing Wu China	13	1.1k 0.7×	753 1.2×	242 0.6×	96 0.3×	287 0.9×	55	2.2k
Carson K. Leung Canada	39	2.1k 1.4×	2.0k 3.1×	362 0.9×	440 1.3×	629 2.0×	295	4.4k
Chengfei Liu Australia	28	1.1k 0.7×	807 1.2×	194 0.5×	473 1.4×	352 1.1×	203	2.9k
Alfredo Cuzzocrea Italy	34	1.8k 1.2×	1.4k 2.1×	435 1.1×	265 0.8×	459 1.5×	401	4.0k
Kuansan Wang United States	23	2.0k 1.3×	960 1.5×	240 0.6×	479 1.4×	502 1.6×	65	3.1k
Marko Grobelnik Slovenia	26	1.6k 1.0×	861 1.3×	132 0.3×	160 0.5×	362 1.2×	126	2.4k
Xiaolin Zheng China	26	1.2k 0.8×	1.2k 1.8×	237 0.6×	127 0.4×	289 0.9×	166	2.2k

Countries citing papers authored by Xiaolong Jin

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolong Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Jin. A scholar is included among the top collaborators of Xiaolong Jin 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 Xiaolong Jin. Xiaolong Jin 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

1.

Guan, Saiping, Da Li, Miao Su, et al.. (2025). A Survey of Link Prediction in N-ary Knowledge Graphs. 28533–28555.

2.

Jiang, Wenxuan, Wenxuan Liu, Zixuan Li, et al.. (2025). KnowCoder-X: Boosting Multilingual Information Extraction via Code. 14486–14509. 1 indexed citations

3.

Zhang, Wei, et al.. (2025). Power Flow Analysis Using a Graph Database and Graph Neural Networks. 527–532.

4.

Meng, Qinglin, et al.. (2024). Distributionally Robust Scheduling for Benefit Allocation in Regional Integrated Energy System with Multiple Stakeholders. Journal of Modern Power Systems and Clean Energy. 12(5). 1631–1642. 50 indexed citations

5.

Jin, Xiaolong, Zixuan Li, Long Bai, et al.. (2023). Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. 1090–1100. 1 indexed citations

6.

Bai, Long, Saiping Guan, Zixuan Li, et al.. (2023). Rich Event Modeling for Script Event Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 12553–12561. 4 indexed citations

7.

Li, Zixuan, Saiping Guan, Xiaolong Jin, et al.. (2022). HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. 7328–7338. 19 indexed citations

8.

Jin, Xiaolong, et al.. (2022). Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. 6266–6275. 5 indexed citations

9.

Jin, Xiaolong, et al.. (2021). Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning. 4687–4692. 12 indexed citations

10.

Yan, Haoran, et al.. (2019). Event Detection with Multi-Order Graph Convolution and Aggregated Attention. 5765–5769. 85 indexed citations

11.

Li, Zixuan, Yunqi Qiu, Xiaolong Jin, et al.. (2017). The Open Knowledge System for TAC KBP 2017.. Theory and applications of categories.

12.

Man, Tong, Huawei Shen, Shenghua Liu, Xiaolong Jin, & Xueqi Cheng. (2016). Predict anchor links across social networks via an embedding approach. International Joint Conference on Artificial Intelligence. 1823–1829. 142 indexed citations

13.

Jia, Yantao, Yuanzhuo Wang, Xueqi Cheng, Xiaolong Jin, & Jiafeng Guo. (2014). OpenKN: an open knowledge computational engine for network big data. 657–664. 9 indexed citations

14.

Jia, Yantao, et al.. (2014). Populating knowledge base with collective entity mentions: a graph-based approach. 604–611. 2 indexed citations

15.

Zhang, Grace, et al.. (2013). Interorganizational cost management in Australian Construction Alliance. RMIT Research Repository (RMIT University Library). 1 indexed citations

16.

Chen, Wei, Jan Nagler, Xueqi Cheng, et al.. (2013). Phase transitions in supercritical explosive percolation. Physical Review E. 87(5). 52130–52130. 28 indexed citations

17.

Huang, Junming, Xueqi Cheng, Huawei Shen, Tao Zhou, & Xiaolong Jin. (2012). Exploring social influence via posterior effect of word-of-mouth recommendations. 573–582. 59 indexed citations

18.

Jin, Xiaolong. (2011). A Retrospective of Web Information Retrieval and Mining. Zhongwen xinxi xuebao. 1 indexed citations

19.

Bi, Yufang, Hongyan Zhao, Shouyue Sun, et al.. (2006). Six cases of ectopic ACTH syndrome caused by thymic carcinoid. Journal of Endocrinological Investigation. 29(4). 293–297. 16 indexed citations

20.

Liu, Jiming, Xiaolong Jin, & Kwok Ching Tsui. (2004). Autonomy Oriented Computing: From Problem Solving to Complex Systems Modeling (Multiagent Systems, Artificial Societies, and Simulated Organizations). Springer eBooks. 12 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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