Tian Lan

703 total citations
34 papers, 459 citations indexed

About

Tian Lan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tian Lan has authored 34 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. Recurrent topics in Tian Lan's work include Medical Image Segmentation Techniques (11 papers), Brain Tumor Detection and Classification (10 papers) and Speech and Audio Processing (9 papers). Tian Lan is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Brain Tumor Detection and Classification (10 papers) and Speech and Audio Processing (9 papers). Tian Lan collaborates with scholars based in China and Serbia. Tian Lan's co-authors include Yi Ding, Zhiguang Qin, Zhen Qin, Qiao Liu, Xinjie Zhang, Cong Zhang, Hao Chen, Wei Wang, Junyi Zhang and Aaron Nicolson and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Tian Lan

33 papers receiving 444 citations

Peers

Tian Lan
Sang‐Woong Lee South Korea
P. Kalavathi India
S. Immanuel Alex Pandian India
Ahmet İlhan Cyprus
Abdel-Badeeh M. Salem Egypt
Ho Yub Jung South Korea
T. Kalaiselvi India
Gongbo Liang United States
Kaleem Arshid China
Md Ishtyaq Mahmud United States
Sang‐Woong Lee South Korea
Tian Lan
Citations per year, relative to Tian Lan Tian Lan (= 1×) peers Sang‐Woong Lee

Countries citing papers authored by Tian Lan

Since Specialization
Citations

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

Fields of papers citing papers by Tian Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Lan. A scholar is included among the top collaborators of Tian Lan 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 Tian Lan. Tian Lan 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.
Lan, Tian, et al.. (2025). Unsupervised extractive opinion summarization based on text simplification and sentiment guidance. Expert Systems with Applications. 272. 126760–126760.
2.
Lan, Tian, et al.. (2024). Revisiting aspect sentiment triplet extraction: A span-level approach with enhanced contextual interaction. Expert Systems with Applications. 268. 126126–126126. 1 indexed citations
3.
Zhang, Shuhui, et al.. (2023). A Malware Detection Approach Based on Deep Learning and Memory Forensics. Symmetry. 15(3). 758–758. 14 indexed citations
4.
Liu, Yao, et al.. (2023). Semi-supervised Few-shot Network Intrusion Detection based on Meta-learning. 495–502. 2 indexed citations
5.
Lan, Tian, Jiajia Li, Yujia Feng, et al.. (2022). Multi-scale informative perceptual network for monaural speech enhancement. Applied Acoustics. 195. 108787–108787. 6 indexed citations
6.
Chen, Cong, et al.. (2021). Selective Kernel Network with Intermediate Supervision Loss for Monaural Speech Enhancement. 2021 IEEE 21st International Conference on Communication Technology (ICCT). 1330–1334. 1 indexed citations
7.
Lan, Tian, et al.. (2021). IDANet: An Information Distillation and Aggregation Network for Speech Enhancement. IEEE Signal Processing Letters. 28. 1998–2002. 5 indexed citations
8.
Lan, Tian, et al.. (2020). Unsupervised Multi-Discriminator Generative Adversarial Network for Lung Nodule Malignancy Classification. IEEE Access. 8. 77725–77734. 25 indexed citations
9.
Lan, Tian, et al.. (2020). Redundant Convolutional Network With Attention Mechanism For Monaural Speech Enhancement. 6654–6658. 3 indexed citations
10.
Lan, Tian, et al.. (2020). Embedding Encoder-Decoder With Attention Mechanism for Monaural Speech Enhancement. IEEE Access. 8. 96677–96685. 6 indexed citations
11.
Lan, Tian, et al.. (2020). Combining Multi-Perspective Attention Mechanism With Convolutional Networks for Monaural Speech Enhancement. IEEE Access. 8. 78979–78991. 15 indexed citations
12.
Chen, Hao, Zhiguang Qin, Yi Ding, & Tian Lan. (2019). Brain Tumor Segmentation with Generative Adversarial Nets. 301–305. 19 indexed citations
13.
Ding, Yi, et al.. (2019). High-order correlation detecting in features for diagnosis of Alzheimer’s disease and mild cognitive impairment. Biomedical Signal Processing and Control. 53. 101564–101564. 16 indexed citations
14.
Lan, Tian, et al.. (2018). Lung Nodule Detection Based on the Combination of Morphometric and Texture Features. Journal of Medical Imaging and Health Informatics. 8(3). 464–471. 2 indexed citations
15.
Ding, Yi, et al.. (2017). Brain MR Image Classification for Alzheimer’s Disease Diagnosis Based on Multifeature Fusion. Computational and Mathematical Methods in Medicine. 2017. 1–13. 53 indexed citations
16.
Ding, Yi, et al.. (2017). Multi‐modal brain tumor image segmentation based on SDAE. International Journal of Imaging Systems and Technology. 28(1). 38–47. 16 indexed citations
17.
Ding, Yi, et al.. (2016). A deep learning-based segmentation method for brain tumor in MR images. IEEE Conference Proceedings. 2016. 6. 9 indexed citations
18.
Ding, Yi, et al.. (2016). A deep learning-based segmentation method for brain tumor in MR images. 1–6. 35 indexed citations
19.
20.
Lan, Tian, et al.. (2014). Multimodal medical image fusion using wavelet transform and human vision system. 491–495. 5 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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2026