Xin Huang

4.5k total citations · 2 hit papers
162 papers, 2.8k citations indexed

About

Xin Huang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Xin Huang has authored 162 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Networks and Communications, 46 papers in Statistical and Nonlinear Physics and 43 papers in Artificial Intelligence. Recurrent topics in Xin Huang's work include Complex Network Analysis Techniques (45 papers), Caching and Content Delivery (26 papers) and Advanced Graph Neural Networks (21 papers). Xin Huang is often cited by papers focused on Complex Network Analysis Techniques (45 papers), Caching and Content Delivery (26 papers) and Advanced Graph Neural Networks (21 papers). Xin Huang collaborates with scholars based in China, Hong Kong and United States. Xin Huang's co-authors include Laks V. S. Lakshmanan, Hong Cheng, Jeffrey Xu Yu, Lu Qin, Jianliang Xu, Wentao Tian, Baining Guo, Kun Zhou, Yanchun Zhang and Li Ye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Plant Journal.

In The Last Decade

Xin Huang

147 papers receiving 2.8k citations

Hit Papers

Querying k-truss community in large and dynamic graphs 2014 2026 2018 2022 2014 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Huang China 26 1.3k 1.3k 1.0k 540 524 162 2.8k
David A. Bader United States 33 1.7k 1.3× 797 0.6× 1.3k 1.2× 1.4k 2.5× 619 1.2× 203 3.9k
Alessandro Panconesi Italy 29 1.6k 1.2× 556 0.4× 978 0.9× 301 0.6× 291 0.6× 99 3.0k
Stephen Kelley United States 10 817 0.6× 1.1k 0.9× 729 0.7× 518 1.0× 346 0.7× 22 2.5k
Yiping Ke Singapore 24 636 0.5× 719 0.6× 948 0.9× 653 1.2× 482 0.9× 67 2.0k
Aliaksei Sandryhaila United States 18 525 0.4× 1.4k 1.1× 2.3k 2.2× 546 1.0× 98 0.2× 29 3.3k
David F. Gleich United States 26 538 0.4× 1.8k 1.4× 1.3k 1.3× 490 0.9× 343 0.7× 92 3.0k
James Cheng Hong Kong 38 1.5k 1.2× 1.2k 0.9× 2.2k 2.1× 2.1k 3.8× 1.1k 2.0× 137 4.7k
S. V. N. Vishwanathan United States 25 362 0.3× 591 0.5× 2.5k 2.4× 1.4k 2.7× 363 0.7× 68 3.9k
Torsten Suel United States 34 2.2k 1.7× 201 0.2× 1.4k 1.3× 608 1.1× 1.4k 2.6× 108 3.7k
Cecilia M. Procopiuc United States 22 356 0.3× 165 0.1× 2.1k 2.0× 620 1.1× 585 1.1× 34 2.8k

Countries citing papers authored by Xin Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Huang

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

All Works

20 of 20 papers shown
1.
Huang, Xin, et al.. (2025). A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications. IEEE Transactions on Knowledge and Data Engineering. 37(12). 6799–6819. 1 indexed citations
2.
Huang, Xin, Rui Zhou, Tiantian Liu, et al.. (2025). Mutation of strigolactone biosynthetic gene DWARF 17 impairs the responses of rice tillering to N supply. The Plant Journal. 122(1). e70124–e70124. 1 indexed citations
3.
Liu, Dandan, et al.. (2024). Fast Multilayer Core Decomposition and Indexing. 2695–2708. 1 indexed citations
4.
Liu, Zuhan, Xin Huang, & Xing Wang. (2024). PM2.5 prediction based on modified whale optimization algorithm and support vector regression. Scientific Reports. 14(1). 23296–23296. 9 indexed citations
5.
Liao, Huimin, et al.. (2023). A High-dimensional Algorithm-Based Fault Tolerance Scheme. 326–330. 2 indexed citations
6.
Chen, Bilian, et al.. (2023). Community Detection via Multihop Nonnegative Matrix Factorization. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 10033–10044. 4 indexed citations
7.
Jiang, Jiaxin, Byron Choi, Xin Huang, Jianliang Xu, & Sourav S. Bhowmick. (2023). DKWS: A Distributed System for Keyword Search on Massive Graphs. IEEE Transactions on Knowledge and Data Engineering. 36(5). 1935–1950. 1 indexed citations
8.
Chen, Bilian, et al.. (2022). Nonnegative Matrix Factorization Based on Node Centrality for Community Detection. ACM Transactions on Knowledge Discovery from Data. 17(6). 1–21. 12 indexed citations
9.
Yin, Jian, et al.. (2022). Continuous Geo-Social Group Monitoring in Dynamic LBSNs. IEEE Transactions on Knowledge and Data Engineering. 1–14. 3 indexed citations
10.
Chen, Bilian, et al.. (2022). Community Detection via Autoencoder-Like Nonnegative Tensor Decomposition. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 4179–4191. 5 indexed citations
11.
Huang, Xin, et al.. (2020). Index-Based Intimate-Core Community Search in Large Weighted Graphs. IEEE Transactions on Knowledge and Data Engineering. 34(9). 4313–4327. 13 indexed citations
12.
Li, Rong-Hua, et al.. (2020). Mining Stable Communities in Temporal Networks by Density-Based Clustering. IEEE Transactions on Big Data. 8(3). 671–684. 10 indexed citations
13.
Li, Bo, Li Niu, Xin Huang, & Hongwei Ding. (2020). Mobility Prediction Based Computation Offloading Handoff Strategy for Vehicular Edge Computing. 电子与信息学报. 42(11). 2664–2670. 1 indexed citations
14.
Liu, Qing, et al.. (2020). VAC: Vertex-Centric Attributed Community Search. 937–948. 47 indexed citations
15.
Jin, Di, et al.. (2019). Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. IEEE Transactions on Knowledge and Data Engineering. 32(11). 2144–2158. 34 indexed citations
16.
Li, Jianxin, Ke Deng, Xin Huang, & Jiajie Xu. (2019). Analysis and Applications of Location‐Aware Big Complex Network Data. Complexity. 2019(1). 4 indexed citations
17.
Huang, Xin, et al.. (2016). Hyperoptics: a high throughput and low latency multicast architecture for datacenters. IEEE International Conference on Cloud Computing Technology and Science. 46–51. 9 indexed citations
18.
Huang, Xin, Hong Cheng, & Jeffrey Xu Yu. (2016). Attributed Community Analysis: Global and Ego-centric Views.. IEEE Data(base) Engineering Bulletin. 39. 29–40. 11 indexed citations
19.
Cheng, Yijun, et al.. (2015). Towards a detailed OpenFlow emulator. 38. 127–132. 1 indexed citations
20.
Huang, Xin, Shu‐Ching Chen, Mei‐Ling Shyu, & Chengcui Zhang. (2002). User concept pattern discovery using relevance feedback and multiple instance learning for content-based image retrieval. 100–108. 29 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026