Lan Huang

421 total citations
12 papers, 247 citations indexed

About

Lan Huang is a scholar working on Information Systems, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Lan Huang has authored 12 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 4 papers in Computer Networks and Communications and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Lan Huang's work include Advanced Manufacturing and Logistics Optimization (2 papers), Complex Network Analysis Techniques (2 papers) and Optimization and Packing Problems (2 papers). Lan Huang is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (2 papers), Complex Network Analysis Techniques (2 papers) and Optimization and Packing Problems (2 papers). Lan Huang collaborates with scholars based in China and United States. Lan Huang's co-authors include Greg S. Martin, Franz Hofer, Xiaowei Wang, Xue Wang, Hongsheng Chen, Chunguang Zhou, Zhihong Qian, Tian Bai, Xin Wang and Zhe Wang and has published in prestigious journals such as IEEE Access, International Journal of Pattern Recognition and Artificial Intelligence and Applied Mechanics and Materials.

In The Last Decade

Lan Huang

11 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lan Huang China	5	198	58	40	16	15	12	247
Hajime Nagashima Japan	9	122 0.6×	87 1.5×	10 0.3×	11 0.7×	15 1.0×	14	350
A. I. Kornelyuk Ukraine	11	276 1.4×	8 0.1×	25 0.6×	8 0.5×	7 0.5×	65	356
Jesper Lind Sweden	11	247 1.2×	38 0.7×	18 0.5×	37 2.3×	27 1.8×	14	377
Deepak Kolippakkam United States	8	377 1.9×	26 0.4×	10 0.3×	21 1.3×	7 0.5×	9	526
Yuxiao Wang China	10	101 0.5×	106 1.8×	60 1.5×	154 9.6×	18 1.2×	27	385
Sayantan Mitra India	12	195 1.0×	22 0.4×	15 0.4×	71 4.4×	20 1.3×	24	380
Marine Dumousseau United Kingdom	9	491 2.5×	25 0.4×	10 0.3×	12 0.8×	4 0.3×	9	563
André Gohr Germany	13	641 3.2×	14 0.2×	9 0.2×	23 1.4×	21 1.4×	25	818
Safal Shrestha United States	8	181 0.9×	87 1.5×	16 0.4×	12 0.8×	3 0.2×	16	262
Tatiana Galochkina France	10	184 0.9×	11 0.2×	48 1.2×	17 1.1×	3 0.2×	28	329

Countries citing papers authored by Lan Huang

Since Specialization

Citations

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

Fields of papers citing papers by Lan Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Huang. A scholar is included among the top collaborators of Lan 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 Lan Huang. Lan Huang 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:

12 of 12 papers shown

1.

Huang, Lan, Liang Zhang, Xiaofang Zhang, et al.. (2020). An Intelligent Recommendation Drilling Platform for Online Computer Education. 283–287. 1 indexed citations

2.

Wang, Xin, Zhihong Qian, Xue Wang, & Lan Huang. (2019). Resource Allocation Scheme Based on Rate-Requirement for Device-to-Device Downlink Communications. International Journal of Pattern Recognition and Artificial Intelligence. 33(13). 1959040–1959040. 1 indexed citations

3.

Wang, Xin, Zhihong Qian, Xue Wang, & Lan Huang. (2019). Robust Localization for Cognitive IoT via the Mobile Anchor Node Based on the Diameter-Varying Spiral Line. IEEE Access. 7. 28487–28497. 6 indexed citations

4.

Huang, Lan, et al.. (2015). Detecting Link Communities Based on Hadoop. Applied Mechanics and Materials. 727-728. 955–958. 1 indexed citations

5.

Huang, Lan, et al.. (2014). Building a Scientific Social Network with Joomla!. Applied Mechanics and Materials. 687-691. 2316–2319. 1 indexed citations

6.

Huang, Lan, et al.. (2012). CDBIA: A dynamic community detection method based on incremental analysis. 2224–2228. 8 indexed citations

7.

Huang, Lan, et al.. (2010). Improved particle swarm optimization algorithm for Rectangular Cutting-Stock Problem. 24–27.

8.

Huang, Lan, et al.. (2009). Extraction of User Profile Based on the Hadoop Framework. 4. 1–6. 6 indexed citations

9.

Li, Chunyang, et al.. (2009). Solving One-dimensional Cutting-Stock Problem Based on Ant Colony Optimization. 13. 1188–1191. 2 indexed citations

10.

Huang, Lan, et al.. (2008). Research on the Sharing E-learning Based on SOA and Semantic Web Architecture. 426–429. 4 indexed citations

11.

Huang, Lan, et al.. (2008). Research on Data Mining Algorithms for Automotive Customers' Behavior Prediction Problem. 23. 677–681. 2 indexed citations

12.

Huang, Lan, et al.. (1998). Structural basis for the interaction of Ras with RaIGDS. Nature Structural Biology. 5(6). 422–426. 215 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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