Xiangnan Kong

5.6k total citations
132 papers, 3.3k citations indexed

About

Xiangnan Kong is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Xiangnan Kong has authored 132 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 28 papers in Statistical and Nonlinear Physics and 26 papers in Molecular Biology. Recurrent topics in Xiangnan Kong's work include Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (27 papers) and Text and Document Classification Technologies (17 papers). Xiangnan Kong is often cited by papers focused on Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (27 papers) and Text and Document Classification Technologies (17 papers). Xiangnan Kong collaborates with scholars based in United States, China and Saudi Arabia. Xiangnan Kong's co-authors include Philip S. Yu, Qifeng Yang, Jiawei Zhang, John Boaz Lee, Ryan A. Rossi, Chuan Shi, Bin Wu, Sihong Xie, Meena S. Moran and Bruce G. Haffty and has published in prestigious journals such as PLoS ONE, Gene and European Journal of Cancer.

In The Last Decade

Xiangnan Kong

128 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiangnan Kong United States	31	1.8k	871	640	629	492	132	3.3k
Xiaohui Yu China	30	1.3k 0.7×	331 0.4×	768 1.2×	415 0.7×	302 0.6×	146	3.4k
Jundong Li United States	40	4.2k 2.4×	962 1.1×	1.4k 2.1×	699 1.1×	1.1k 2.2×	199	6.5k
Zhewei Wei China	25	935 0.5×	268 0.3×	328 0.5×	377 0.6×	386 0.8×	99	2.5k
Mario Cannataro Italy	29	739 0.4×	165 0.2×	626 1.0×	1.4k 2.2×	240 0.5×	244	3.4k
Jian‐Yun Nie Canada	42	4.9k 2.8×	225 0.3×	3.0k 4.7×	1.1k 1.7×	943 1.9×	272	7.5k
Zitao Liu China	26	1.3k 0.7×	105 0.1×	378 0.6×	435 0.7×	1.1k 2.3×	146	3.3k
Vincent Ng Hong Kong	37	3.4k 1.9×	97 0.1×	1.5k 2.4×	439 0.7×	349 0.7×	190	5.5k
Jaewoo Kang South Korea	37	4.9k 2.7×	117 0.1×	998 1.6×	2.9k 4.6×	709 1.4×	173	8.3k
W. Nick Street United States	25	2.6k 1.5×	132 0.2×	581 0.9×	413 0.7×	755 1.5×	93	4.0k

Countries citing papers authored by Xiangnan Kong

Since Specialization

Citations

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

Fields of papers citing papers by Xiangnan Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangnan Kong

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

Kong, Xiangnan, et al.. (2024). Amalgamating Multi-Task Models with Heterogeneous Architectures. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15346–15354.

Su, Yao, et al.. (2023). One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data. arXiv (Cornell University). 2049–2060.

Zhang, Yingxue, Yanhua Li, Xun Zhou, Xiangnan Kong, & Jun Luo. (2020). Off-Deployment Traffic Estimation — A Traffic Generative Adversarial Networks Approach. IEEE Transactions on Big Data. 8(4). 1084–1095. 9 indexed citations

Rundensteiner, Elke A., et al.. (2018). Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records.. AMIA. 1 indexed citations

Liu, Xinyue, Xiangnan Kong, Lei Liu, & Kuorong Chiang. (2018). TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. 1140–1145. 11 indexed citations

Li, Yafang, Xiangnan Kong, Caiyan Jia, & Jianqiang Li. (2018). Clustering Uncertain Graphs with Node Attributes.. Asian Conference on Machine Learning. 232–247. 3 indexed citations

Hartvigsen, Thomas, et al.. (2018). Early Prediction of MRSA Infections using Electronic Health Records. 156–167. 14 indexed citations

Cai, Meijuan, et al.. (2017). Influences of Gender and Age on the Prevalence and Complications of Nonalcoholic Fatty Liver Disease.. PubMed. 39(4). 499–505. 7 indexed citations

Hasan, Maryam, Elke A. Rundensteiner, Xiangnan Kong, & Emmanuel Agu. (2017). Using Social Sensing to Discover Trends in Public Emotion. 172–179. 11 indexed citations

10.

Liu, Yan, Xiangnan Kong, Xiaoyan Li, Baojiang Li, & Qifeng Yang. (2015). Knockdown of metadherin inhibits angiogenesis in breast cancer. International Journal of Oncology. 46(6). 2459–2466. 15 indexed citations

11.

Yu, Philip S., et al.. (2015). Privacy Preserving Social Network Publication Against Mutual Friend Attacks. 7(2). 71–97. 6 indexed citations

12.

Kong, Xiangnan, Xia Ding, & Qifeng Yang. (2015). Identification of multi-target effects of Huaier aqueous extract via microarray profiling in triple-negative breast cancer cells. International Journal of Oncology. 46(5). 2047–2056. 15 indexed citations

13.

Li, Xiaoyan, Xiaoli Kong, Xiangnan Kong, et al.. (2013). 53BP1 Sensitizes Breast Cancer Cells to 5-Fluorouracil. PLoS ONE. 8(9). e74928–e74928. 14 indexed citations

14.

Ma, Ling, Guo Q, Xiangnan Kong, et al.. (2013). The effect of intensity-modulated radiotherapy versus conventional radiotherapy on quality of life in patients with nasopharyngeal cancer: a cross-sectional study.. Head & Neck Oncology. 5(1). 8. 5 indexed citations

15.

Kong, Xiangnan, Philip S. Yu, Xue Wang, & Ann Ragin. (2013). Discriminative Feature Selection for Uncertain Graph Classification. PubMed. 2013. 82–93. 33 indexed citations

16.

Shi, Chuan, Xiangnan Kong, Philip S. Yu, & Bai Wang. (2012). Multi-Objective Multi-Label Classification. 355–366. 9 indexed citations

17.

Zhu, Jiang, Xiaoyan Li, Xiangnan Kong, et al.. (2012). Testin is a tumor suppressor and prognostic marker in breast cancer. Cancer Science. 103(12). 2092–2101. 35 indexed citations

18.

Li, Xiaoyan, Xiangnan Kong, Xi Chen, et al.. (2012). LAPTM4B Allele *2 Is Associated with Breast Cancer Susceptibility and Prognosis. PLoS ONE. 7(9). e44916–e44916. 23 indexed citations

19.

Kong, Xiangnan, Philip S. Yu, Ying Ding, David Wild, & Saudi Arabia. (2012). Meta Path-Based Classification in Heterogeneous Information Networks. 1 indexed citations

20.

Kong, Xiangnan, Wei Fan, & Philip S. Yu. (2011). Dual active feature and sample selection for graph classification. 654–662. 31 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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