Lan Huang

2.7k total citations
152 papers, 1.7k citations indexed

About

Lan Huang is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Lan Huang has authored 152 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 55 papers in Artificial Intelligence and 23 papers in Cancer Research. Recurrent topics in Lan Huang's work include Cancer-related molecular mechanisms research (17 papers), Machine Learning in Bioinformatics (16 papers) and Bioinformatics and Genomic Networks (16 papers). Lan Huang is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), Machine Learning in Bioinformatics (16 papers) and Bioinformatics and Genomic Networks (16 papers). Lan Huang collaborates with scholars based in China, United Kingdom and United States. Lan Huang's co-authors include Kangping Wang, Wei Pang, Chunguang Zhou, Fengfeng Zhou, Yan Wang, Meiyu Duan, Tian Bai, Ning Gu, Zhirui Guo and Xiaoyue Feng and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Lan Huang

131 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Huang China 21 590 522 219 189 154 152 1.7k
Saurav Mallik India 27 447 0.8× 832 1.6× 289 1.3× 195 1.0× 37 0.2× 188 2.1k
Yong Liang China 21 355 0.6× 562 1.1× 82 0.4× 197 1.0× 111 0.7× 109 1.7k
Mehmet Koyutürk United States 30 307 0.5× 1.7k 3.2× 180 0.8× 135 0.7× 44 0.3× 122 2.7k
Giorgio Valentini Italy 29 826 1.4× 1.1k 2.1× 70 0.3× 350 1.9× 18 0.1× 127 2.6k
Guangyong Chen China 19 171 0.3× 444 0.9× 130 0.6× 229 1.2× 41 0.3× 67 1.2k
Borja Calvo Spain 15 380 0.6× 637 1.2× 217 1.0× 60 0.3× 51 0.3× 40 1.4k
Swakkhar Shatabda Bangladesh 24 367 0.6× 1.1k 2.0× 92 0.4× 170 0.9× 13 0.1× 127 1.9k
Qian Wang China 25 903 1.5× 109 0.2× 60 0.3× 764 4.0× 172 1.1× 167 2.3k
Jinhui Xu United States 22 439 0.7× 388 0.7× 29 0.1× 287 1.5× 85 0.6× 182 2.0k
Roberto Santana Spain 20 1.1k 1.9× 484 0.9× 29 0.1× 158 0.8× 147 1.0× 143 2.1k

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

20 of 20 papers shown
1.
Shu, Guoxiang, et al.. (2025). Study of an Ultra-Wideband Sine-Shape Staggered Waveguide for a Terahertz Band Sheet Beam TWT. IEEE Electron Device Letters. 46(10). 1873–1876.
2.
Huang, Lan, Y. Shao, Hui Yang, et al.. (2025). PCG-CAM: Enhanced class activation map using principal components of gradients and its applications in brain MRI. Information Sciences. 708. 122046–122046. 1 indexed citations
3.
Huang, Lan, et al.. (2025). Prompt-guided orthogonal multimodal fusion for cancer survival prediction. Information Sciences. 715. 122242–122242.
4.
Huang, Lan, et al.. (2024). FAM: Improving columnar vision transformer with feature attention mechanism. Computer Vision and Image Understanding. 242. 103981–103981. 3 indexed citations
5.
Wang, Yan, Jie Hong, Nan Sheng, et al.. (2024). A Controllability Reinforcement Learning Method for Pancreatic Cancer Biomarker Identification. IEEE Transactions on NanoBioscience. 23(4). 556–563.
6.
Huang, Lan, et al.. (2024). Prompt-based learning framework for zero-shot cross-lingual text classification. Engineering Applications of Artificial Intelligence. 133. 108481–108481. 12 indexed citations
7.
Li, Ximing, Lan Huang, Fausto Giunchiglia, et al.. (2024). Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training. ACM Transactions on Knowledge Discovery from Data. 18(9). 1–30.
8.
Wang, Yan, et al.. (2024). Graph pooling in graph neural networks: methods and their applications in omics studies. Artificial Intelligence Review. 57(11). 6 indexed citations
9.
Wang, Xinfei, Lan Huang, Yan Wang, et al.. (2024). A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers. Briefings in Bioinformatics. 25(6). 5 indexed citations
10.
Wu, Yuqian, et al.. (2024). TExCNN: Leveraging Pre-Trained Models to Predict Gene Expression from Genomic Sequences. Genes. 15(12). 1593–1593. 1 indexed citations
11.
Xu, Yiping, Zihan Wang, Yuchen Liu, et al.. (2023). EvaGoNet: An integrated network of variational autoencoder and Wasserstein generative adversarial network with gradient penalty for binary classification tasks. Information Sciences. 629. 109–122. 3 indexed citations
12.
Wang, Yan, Liming Guo, Qiong Zhou, et al.. (2023). OCMR: A comprehensive framework for optical chemical molecular recognition. Computers in Biology and Medicine. 163. 107187–107187. 2 indexed citations
13.
14.
Liu, Shuai, et al.. (2021). DiaMole: Mole Detection and Segmentation Software for Mobile Phone Skin Images. Journal of Healthcare Engineering. 2021. 1–10. 2 indexed citations
15.
Huang, Lan, et al.. (2021). Property-Based Semantic Similarity Criteria to Evaluate the Overlaps of Schemas. Algorithms. 14(8). 241–241.
16.
Huang, Lan, Yan Wang, Yao Wang, et al.. (2021). DeepSec: a deep learning framework for secreted protein discovery in human body fluids. Bioinformatics. 38(1). 228–235. 10 indexed citations
17.
18.
Huang, Lan, Meng Wang, Yu Zhang, et al.. (2007). Synthesis of Gold Nanotadpoles by a Temperature-Reducing Seed Approach and the Dielectrophoretic Manipulation. The Journal of Physical Chemistry C. 111(44). 16154–16160. 25 indexed citations
19.
Pang, Wei, Kangping Wang, Chunguang Zhou, Lan Huang, & Xiaohui Ji. (2005). Fuzzy Discrete Particle Swarm Optimization for Solving Travel Salesman Problem. Mini-micro Systems. 26(8). 1331–1334. 4 indexed citations
20.
Huang, Lan, et al.. (2005). New Genetic Algorithm for Vehicle Routing Problem with Time Window. Journal of Chinese Computer Systems. 26(2). 214–217. 1 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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