Long Lin

719 total citations · 1 hit paper
9 papers, 550 citations indexed

About

Long Lin is a scholar working on Artificial Intelligence, Information Systems and Building and Construction. According to data from OpenAlex, Long Lin has authored 9 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Building and Construction. Recurrent topics in Long Lin's work include Traffic Prediction and Management Techniques (2 papers), Advanced Data and IoT Technologies (2 papers) and Service-Oriented Architecture and Web Services (1 paper). Long Lin is often cited by papers focused on Traffic Prediction and Management Techniques (2 papers), Advanced Data and IoT Technologies (2 papers) and Service-Oriented Architecture and Web Services (1 paper). Long Lin collaborates with scholars based in China, Japan and United States. Long Lin's co-authors include Keping Yu, Liang Tan, Xiaofan Cheng, Mamoun Alazab, Bo Gu, Yi Zhang, Takuro Sato, Wei Wei, Jerry Chun‐Wei Lin and Gautam Srivastava and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Wireless Communications and Proceedings of the VLDB Endowment.

In The Last Decade

Long Lin

7 papers receiving 517 citations

Hit Papers

Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Lin China 4 254 176 115 101 78 9 550
Xiaofan Cheng China 5 226 0.9× 198 1.1× 138 1.2× 107 1.1× 90 1.2× 8 580
Saraswathy Shamini Gunasekaran Malaysia 12 134 0.5× 129 0.7× 215 1.9× 105 1.0× 104 1.3× 53 543
Pankaj Dadheech India 16 178 0.7× 218 1.2× 306 2.7× 145 1.4× 106 1.4× 85 759
V. R. Sarma Dhulipala India 15 212 0.8× 95 0.5× 384 3.3× 71 0.7× 77 1.0× 55 671
Swarna Priya Ramu India 6 123 0.5× 205 1.2× 176 1.5× 45 0.4× 115 1.5× 12 590
Tawfik Al-Hadhrami United Kingdom 16 235 0.9× 214 1.2× 202 1.8× 128 1.3× 184 2.4× 54 837
Mingliang Hou China 14 103 0.4× 196 1.1× 149 1.3× 83 0.8× 71 0.9× 47 606
Young-Guk Ha South Korea 12 103 0.4× 117 0.7× 127 1.1× 182 1.8× 93 1.2× 60 519
Zhuangdi Zhu United States 8 158 0.6× 269 1.5× 112 1.0× 108 1.1× 62 0.8× 17 647

Countries citing papers authored by Long Lin

Since Specialization
Citations

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

Fields of papers citing papers by Long Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Lin

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

All Works

9 of 9 papers shown
1.
Lin, Long, et al.. (2024). Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation. 23138–23147. 2 indexed citations
2.
Zhu, Zhen, Soohyun Yang, Long Lin, et al.. (2024). CORAL: Collaborative Automatic Labeling System Based on Large Language Models. Proceedings of the VLDB Endowment. 17(12). 4401–4404.
3.
Yu, Keping, Liang Tan, Long Lin, et al.. (2021). Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health. IEEE Wireless Communications. 28(3). 54–61. 200 indexed citations breakdown →
4.
Lin, Long, et al.. (2021). Research and Implementation of Small Object Detection Algorithm for Power Embedded Devices. 178–183. 1 indexed citations
5.
Tan, Liang, Keping Yu, Long Lin, et al.. (2021). Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space–Air–Ground Integrated Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2830–2842. 117 indexed citations
6.
Yu, Keping, Long Lin, Mamoun Alazab, Liang Tan, & Bo Gu. (2020). Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems. 22(7). 4337–4347. 221 indexed citations
7.
Lin, Long, et al.. (2020). Exploration and Application of Software Development Automation Technology. IOP Conference Series Materials Science and Engineering. 782(3). 32001–32001.
8.
Lin, Long & Chao-Ping Chen. (2015). Asymptotic formulas for the gamma function by Gosper. Journal of Mathematical Inequalities. 541–551. 8 indexed citations
9.
Lin, Long, Chee Yap, & Jihun Yu. (2012). Non-local isotopic approximation of nonsingular surfaces. Computer-Aided Design. 45(2). 451–462. 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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