Tian Lan

6.5k total citations · 2 hit papers
145 papers, 3.7k citations indexed

About

Tian Lan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Tian Lan has authored 145 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Networks and Communications, 50 papers in Artificial Intelligence and 43 papers in Information Systems. Recurrent topics in Tian Lan's work include Cloud Computing and Resource Management (31 papers), Caching and Content Delivery (24 papers) and IoT and Edge/Fog Computing (21 papers). Tian Lan is often cited by papers focused on Cloud Computing and Resource Management (31 papers), Caching and Content Delivery (24 papers) and IoT and Edge/Fog Computing (21 papers). Tian Lan collaborates with scholars based in United States, China and Canada. Tian Lan's co-authors include Mung Chiang, Wei Yu, Prashanth Hande, Chee Wei Tan, Greg Mori, David Kao, Ashutosh Sabharwal, Weilong Yang, Minghua Chen and Carlee Joe‐Wong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Tian Lan

130 papers receiving 3.5k citations

Hit Papers

Transmitter Optimization for the Multi-Antenna Downlink W... 2007 2026 2013 2019 2007 2012 100 200 300 400 500
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.

  1. Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints
    2007 575 citations Tian Lan et al. profile →
  2. Joint VM placement and routing for data center traffic engineering
    2012 283 citations Tian Lan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tian Lan United States 25 2.1k 1.5k 831 806 774 145 3.7k
Dapeng Wu China 32 1.8k 0.8× 1.1k 0.8× 975 1.2× 639 0.8× 400 0.5× 219 3.3k
Changqiao Xu China 31 2.7k 1.3× 1.2k 0.8× 518 0.6× 396 0.5× 565 0.7× 232 3.5k
Jianxin Liao China 26 1.6k 0.8× 902 0.6× 824 1.0× 576 0.7× 441 0.6× 298 2.9k
Nalini Venkatasubramanian United States 28 2.2k 1.1× 930 0.6× 451 0.5× 695 0.9× 572 0.7× 252 3.3k
Liang Zhou China 34 2.4k 1.1× 1.9k 1.3× 431 0.5× 370 0.5× 747 1.0× 229 4.0k
Ying Chen China 32 2.2k 1.0× 1.1k 0.8× 447 0.5× 719 0.9× 386 0.5× 181 3.1k
Kurt Rothermel Germany 36 3.7k 1.8× 1.2k 0.8× 761 0.9× 809 1.0× 812 1.0× 281 4.8k
Dongxiao Yu China 27 1.5k 0.7× 712 0.5× 838 1.0× 518 0.6× 355 0.5× 230 2.7k
Zichuan Xu China 35 2.8k 1.3× 1.2k 0.8× 509 0.6× 973 1.2× 702 0.9× 160 3.9k
Yong Cui China 32 2.9k 1.4× 1.4k 0.9× 578 0.7× 769 1.0× 703 0.9× 227 3.9k

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
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Lan, Tian, et al.. (2024). RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17327–17336. 5 indexed citations
4.
Zou, Yifei, Dongxiao Yu, Jorge Torres Gómez, et al.. (2024). Distributed Age-of-Information Scheduling With NOMA via Deep Reinforcement Learning. IEEE Transactions on Mobile Computing. 24(1). 30–44. 6 indexed citations
5.
Subramaniam, Suresh, et al.. (2024). Exploring In-Memory Accelerators and FPGAs for Latency-Sensitive DNN Inference on Edge Servers. 1–6. 6 indexed citations
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7.
Li, Huiqun, Hanhan Zhou, Yifei Zou, Dongxiao Yu, & Tian Lan. (2024). ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17461–17468. 3 indexed citations
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Aggarwal, Vaneet, Tian Lan, Nan Geng, et al.. (2023). FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. IEEE/ACM Transactions on Networking. 32(2). 1003–1018. 3 indexed citations
10.
Zhang, Han, Xia Yin, Xingang Shi, et al.. (2022). Achieving High Availability in Inter-DC WAN Traffic Engineering. IEEE/ACM Transactions on Networking. 31(6). 2406–2421. 6 indexed citations
11.
Aggarwal, Vaneet & Tian Lan. (2021). Modeling and Optimization of Latency in Erasure-coded Storage Systems. 18(3). 380–525.
12.
Xiao, Limei, et al.. (2021). A Simplified CNNs Visual Perception Learning Network Algorithm for Foods Recognition. Computers & Electrical Engineering. 92. 107152–107152. 7 indexed citations
13.
Zhao, Hang, Jiyang Gao, Tian Lan, et al.. (2020). TNT: Target-driveN Trajectory Prediction. arXiv (Cornell University). 895–904. 5 indexed citations
14.
Fan, Jianhua, Xianglin Wei, Tongxiang Wang, Tian Lan, & Suresh Subramaniam. (2017). Deadline-Aware Task Scheduling in a Tiered IoT Infrastructure. 1–7. 51 indexed citations
15.
Lan, Tian, et al.. (2014). Improved dependent component analysis for hyperspectral unmixing with spatial correlations. Proc SPIE. 9301. 1–93011.
16.
Zhou, Guang-Tong, Tian Lan, Arash Vahdat, & Greg Mori. (2013). Latent Maximum Margin Clustering. Neural Information Processing Systems. 26. 28–36. 15 indexed citations
17.
Zhu, Yuke, Tian Lan, Yijian Yang, Stephen N. Robinovitch, & Greg Mori. (2013). Latent Spatio-temporal Models for Action Localization and Recognition in Nursing Home Surveillance Video. Machine Vision and Applications. 463–466.
18.
Wang, Wei, et al.. (2012). Datacenter net profit optimization with deadline dependent pricing. 1–6. 12 indexed citations
19.
Ranjbar, Mani, Tian Lan, Yang Wang, et al.. (2012). Optimizing Nondecomposable Loss Functions in Structured Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(4). 911–924. 12 indexed citations
20.
Lan, Tian, Yang Wang, Weilong Yang, & Greg Mori. (2010). Beyond Actions: Discriminative Models for Contextual Group Activities. Summit (Simon Fraser University). 23. 1216–1224. 90 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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