Haiman Tian

1.9k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Haiman Tian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Haiman Tian has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Haiman Tian's work include Anomaly Detection Techniques and Applications (9 papers), Video Analysis and Summarization (6 papers) and Music and Audio Processing (3 papers). Haiman Tian is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Video Analysis and Summarization (6 papers) and Music and Audio Processing (3 papers). Haiman Tian collaborates with scholars based in United States, Egypt and China. Haiman Tian's co-authors include Shu‐Ching Chen, Mei‐Ling Shyu, Samira Pouyanfar, Yudong Tao, Saad Sadiq, S. S. Iyengar, Yilin Yan, Maria Presa Reyes, Ahmed S. Kaseb and Anup Mohan and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Multimedia and Information Systems Frontiers.

In The Last Decade

Haiman Tian

19 papers receiving 1.2k citations

Hit Papers

A Survey on Deep Learning 2018 2026 2020 2023 2018 250 500 750
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. A Survey on Deep Learning
    2018 915 citations Samira Pouyanfar, Saad Sadiq et al. ACM Computing Surveys profile →

Peers

Haiman Tian
Yudong Tao United States
Yilin Yan United States
Saad Sadiq United States
Samira Pouyanfar United States
Rafał Scherer Poland
Maria Presa Reyes United States
Jaesik Choi South Korea
Jiejun Xu United States
Quanshi Zhang China
Yudong Tao United States
Haiman Tian
Citations per year, relative to Haiman Tian Haiman Tian (= 1×) peers Yudong Tao

Countries citing papers authored by Haiman Tian

Since Specialization
Citations

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

Fields of papers citing papers by Haiman Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiman Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Haiman Tian. A scholar is included among the top collaborators of Haiman Tian 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 Haiman Tian. Haiman Tian 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.
2.
Tian, Haiman, Yudong Tao, Samira Pouyanfar, et al.. (2021). Data Analytics for Air Travel Data: A Survey and New Perspectives. ACM Computing Surveys. 54(8). 1–35. 9 indexed citations
3.
Yan, Yilin, Samira Pouyanfar, Yudong Tao, et al.. (2020). Florida International University - University of Miami Trecvid 2014. 2 indexed citations
4.
Tian, Haiman, Shu‐Ching Chen, & Mei‐Ling Shyu. (2020). Evolutionary Programming Based Deep Learning Feature Selection and Network Construction for Visual Data Classification. Information Systems Frontiers. 22(5). 1053–1066. 19 indexed citations
5.
Pouyanfar, Samira, Yudong Tao, Saad Sadiq, et al.. (2019). Unconstrained Flood Event Detection Using Adversarial Data Augmentation. 155–159. 17 indexed citations
6.
Wang, Tianyi, Samira Pouyanfar, Haiman Tian, et al.. (2019). A Framework for Airfare Price Prediction: A Machine Learning Approach. 200–207. 24 indexed citations
7.
Tian, Haiman, Shu‐Ching Chen, Mei‐Ling Shyu, & Stuart H. Rubin. (2019). Automated Neural Network Construction with Similarity Sensitive Evolutionary Algorithms. 283–290. 4 indexed citations
8.
Tian, Haiman, Shu‐Ching Chen, & Mei‐Ling Shyu. (2019). Genetic Algorithm Based Deep Learning Model Selection for Visual Data Classification. 3. 127–134. 9 indexed citations
9.
Tian, Haiman, Yudong Tao, Samira Pouyanfar, Shu‐Ching Chen, & Mei‐Ling Shyu. (2018). Multimodal deep representation learning for video classification. World Wide Web. 22(3). 1325–1341. 63 indexed citations
10.
Pouyanfar, Samira, Saad Sadiq, Yilin Yan, et al.. (2018). A Survey on Deep Learning. ACM Computing Surveys. 51(5). 1–36. 915 indexed citations breakdown →
11.
Pouyanfar, Samira, Yudong Tao, Haiman Tian, Shu‐Ching Chen, & Mei‐Ling Shyu. (2018). Multimodal deep learning based on multiple correspondence analysis for disaster management. World Wide Web. 22(5). 1893–1911. 39 indexed citations
12.
Pouyanfar, Samira, Yudong Tao, Anup Mohan, et al.. (2018). Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. 112–117. 110 indexed citations
13.
Tian, Haiman, et al.. (2018). Sequential Deep Learning for Disaster-Related Video Classification. 106–111. 10 indexed citations
14.
Tian, Haiman, Samira Pouyanfar, Jonathan H. Chen, Shu‐Ching Chen, & S. S. Iyengar. (2018). Automatic Convolutional Neural Network Selection for Image Classification Using Genetic Algorithms. 444–451. 14 indexed citations
15.
Yang, Yimin, Samira Pouyanfar, Haiman Tian, et al.. (2017). IF-MCA: Importance Factor-Based Multiple Correspondence Analysis for Multimedia Data Analytics. IEEE Transactions on Multimedia. 20(4). 1024–1032. 7 indexed citations
16.
Tian, Haiman & Shu‐Ching Chen. (2017). A Video-Aided Semantic Analytics System for Disaster Information Integration. 8 indexed citations
17.
Tian, Haiman & Shu‐Ching Chen. (2017). MCA-NN: Multiple Correspondence Analysis Based Neural Network for Disaster Information Detection. 12 indexed citations
18.
Yan, Yilin, Samira Pouyanfar, Haiman Tian, et al.. (2016). Domain Knowledge Assisted Data Processing for Florida Public Hurricane Loss Model (Invited Paper). 6. 441–447. 3 indexed citations
19.
Bil, Cees, et al.. (2015). C-17 Conversion for fire fighting operations. RMIT Research Repository (RMIT University Library). 1 indexed citations
20.
Yang, Yimin, et al.. (2015). Integrated execution framework for catastrophe modeling. 15. 201–207. 2 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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