Xiongnan Jin

648 total citations · 1 hit paper
30 papers, 499 citations indexed

About

Xiongnan Jin is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Xiongnan Jin has authored 30 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Xiongnan Jin's work include Service-Oriented Architecture and Web Services (11 papers), IoT and Edge/Fog Computing (10 papers) and Context-Aware Activity Recognition Systems (6 papers). Xiongnan Jin is often cited by papers focused on Service-Oriented Architecture and Web Services (11 papers), IoT and Edge/Fog Computing (10 papers) and Context-Aware Activity Recognition Systems (6 papers). Xiongnan Jin collaborates with scholars based in South Korea, China and United States. Xiongnan Jin's co-authors include Kyong-Ho Lee, Jian Zhang, Jun Yu, Chaoqun Hong, Il‐Woo Lee, Jinpeng Chen, Liang Chen, Xiuyun Li, Byungkook Oh and Xiaoqian Liu and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Informatics and Neurocomputing.

In The Last Decade

Xiongnan Jin

25 papers receiving 486 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.

Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

2018 268 citations Chaoqun Hong, Jun Yu et al. IEEE Transactions on Industrial Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiongnan Jin South Korea	10	259	163	142	113	39	30	499
K. Rangarajan India	12	252 1.0×	143 0.9×	129 0.9×	117 1.0×	21 0.5×	57	625
Azeddine Zahi Morocco	15	170 0.7×	137 0.8×	143 1.0×	134 1.2×	52 1.3×	42	605
Wenwen Gong China	10	141 0.5×	201 1.2×	178 1.3×	182 1.6×	23 0.6×	21	543
Uday Kulkarni India	13	243 0.9×	151 0.9×	48 0.3×	116 1.0×	52 1.3×	63	517
Yong Feng China	13	199 0.8×	177 1.1×	75 0.5×	102 0.9×	96 2.5×	70	548
Guoping Wang United States	10	120 0.5×	117 0.7×	79 0.6×	84 0.7×	26 0.7×	40	373
Xue Lin China	10	217 0.8×	220 1.3×	232 1.6×	148 1.3×	40 1.0×	27	612
Werasak Kurutach Thailand	11	164 0.6×	115 0.7×	82 0.6×	85 0.8×	38 1.0×	55	439
D. T. Lee Taiwan	11	173 0.7×	229 1.4×	79 0.6×	69 0.6×	22 0.6×	29	489
Mingxuan Sun United States	14	219 0.8×	205 1.3×	132 0.9×	144 1.3×	21 0.5×	53	659

Countries citing papers authored by Xiongnan Jin

Since Specialization

Citations

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

Fields of papers citing papers by Xiongnan Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongnan Jin

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

All Works

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20 of 20 papers shown

Jin, Xiongnan, et al.. (2025). Relation-Faceted Graph Pooling with LLM Guidance for Dynamic Span-Aware Information Extraction. 109–118.

Yang, Z., Jinpeng Chen, Huan Li, et al.. (2025). STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation. ArXiv.org. 3824–3833.

Jin, Xiongnan, et al.. (2025). A survey on knowledge graph evolution: proliferation, dynamic embedding, and versioning. International Journal of Web and Grid Services. 21(1). 88–111.

Jin, Xiongnan, Zhilin Wang, Yang Liu, et al.. (2025). HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(11). 11888–11896. 1 indexed citations

Chen, Jinpeng, Fan Zhang, Huan Li, et al.. (2024). EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation. World Wide Web. 27(2). 2 indexed citations

Chen, Jinpeng, et al.. (2024). PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation. 249–258.

Long, Jun, et al.. (2024). HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs. 4056–4066. 1 indexed citations

Liu, Xiaoqian, Xiuyun Li, Yuan Cao, et al.. (2023). Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation. 1529–1534. 6 indexed citations

Jin, Xiongnan, et al.. (2021). DORIC: discovering topological relations based on spatial link composition. Knowledge and Information Systems. 63(10). 2645–2669.

10.

Jin, Xiongnan, et al.. (2021). MFC-Prov: Media forensics challenge image provenance evaluation and data analysis on large-scale datasets. Neurocomputing. 470. 76–88. 2 indexed citations

11.

Jin, Xiongnan, et al.. (2019). SECoG: semantically enhanced mashup of CoAP-based IoT services. Service Oriented Computing and Applications. 13(1). 81–94. 1 indexed citations

12.

Jin, Xiongnan, Byungkook Oh, Sanghak Lee, et al.. (2019). Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. 669–678. 6 indexed citations

13.

Jin, Xiongnan, et al.. (2018). Quantitative Computation of Social Strength in Social Internet of Things. IEEE Internet of Things Journal. 5(5). 4066–4075. 18 indexed citations

14.

Jin, Xiongnan, et al.. (2018). Collective Keyword Query on a Spatial Knowledge Base. IEEE Transactions on Knowledge and Data Engineering. 31(11). 2051–2062. 9 indexed citations

15.

Hong, Chaoqun, Jun Yu, Jian Zhang, Xiongnan Jin, & Kyong-Ho Lee. (2018). Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning. IEEE Transactions on Industrial Informatics. 15(7). 3952–3961. 268 indexed citations breakdown →

16.

Jin, Xiongnan, et al.. (2018). Designing an integrated knowledge graph for smart energy services. The Journal of Supercomputing. 76(10). 8058–8085. 14 indexed citations

17.

Jin, Xiongnan, et al.. (2016). Proactive Replication of Dynamic Linked Data for Scalable RDF Stream Processing.. International Semantic Web Conference. 1690. 2 indexed citations

18.

Jin, Xiongnan, et al.. (2016). A fast and scalable approach for IoT service selection based on a physical service model. Information Systems Frontiers. 19(6). 1357–1372. 34 indexed citations

19.

Jin, Xiongnan, et al.. (2014). Poster Abstract: Semantically Enriched Object Identification for Internet of Things. 141–142. 3 indexed citations

20.

Jin, Xiongnan, et al.. (2014). Short paper: Semantic URI-based event-driven physical mashup. 195–196. 8 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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