Collin Meese

401 total citations · 1 hit paper
13 papers, 205 citations indexed

About

Collin Meese is a scholar working on Artificial Intelligence, Information Systems and Building and Construction. According to data from OpenAlex, Collin Meese has authored 13 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Building and Construction. Recurrent topics in Collin Meese's work include Blockchain Technology Applications and Security (7 papers), Traffic Prediction and Management Techniques (6 papers) and Privacy-Preserving Technologies in Data (4 papers). Collin Meese is often cited by papers focused on Blockchain Technology Applications and Security (7 papers), Traffic Prediction and Management Techniques (6 papers) and Privacy-Preserving Technologies in Data (4 papers). Collin Meese collaborates with scholars based in United States and China. Collin Meese's co-authors include Mark Nejad, Wanxin Li, Maryam Shaygan, Xiaoliang Zhao, Hao Guo, Hang Chen, Chien‐Chung Shen, Chien-Chung Shen, Danielle Lee and Wanxin Li and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies and IEEE Transactions on Services Computing.

In The Last Decade

Collin Meese

10 papers receiving 202 citations

Hit Papers

align trajectories

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.

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

2022 117 citations Maryam Shaygan, Collin Meese et al. Transportation Research Part C Emerging Technologies profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Collin Meese United States	7	117	69	68	62	58	13	205
Yuanshao Zhu China	9	67 0.6×	99 1.4×	55 0.8×	16 0.3×	41 0.7×	16	205
Mohammad Aslani Sweden	7	169 1.4×	55 0.8×	109 1.6×	209 3.4×	23 0.4×	9	308
Haomin Wen China	9	149 1.3×	36 0.5×	89 1.3×	30 0.5×	12 0.2×	23	238
Wei Chang United States	8	31 0.3×	46 0.7×	38 0.6×	13 0.2×	64 1.1×	34	209
R. Ashalatha India	9	120 1.0×	18 0.3×	145 2.1×	145 2.3×	53 0.9×	25	300
Francois Belletti United States	7	80 0.7×	46 0.7×	62 0.9×	131 2.1×	17 0.3×	12	273
Linsey Pang United States	6	51 0.4×	77 1.1×	56 0.8×	10 0.2×	17 0.3×	21	185
Jiexia Ye China	6	230 2.0×	35 0.5×	195 2.9×	69 1.1×	7 0.1×	11	284
Ziqian Lin China	4	194 1.7×	76 1.1×	158 2.3×	59 1.0×	9 0.2×	9	285
Bing Su China	8	48 0.4×	50 0.7×	12 0.2×	28 0.5×	91 1.6×	27	250

Countries citing papers authored by Collin Meese

Since Specialization

Citations

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

Fields of papers citing papers by Collin Meese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Collin Meese

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

All Works

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13 of 13 papers shown

1.

Meese, Collin, et al.. (2025). T-GANRE: Advanced Deep Learning Models for Synthetic Data Generation for Nonrecurrent Events. 155–166.

2.

Li, Wanxin, Collin Meese, Mark Nejad, Hao Guo, & Jie Zhang. (2025). Bidirectional Authentication for Safe Ridesharing Empowered by Permissioned Blockchain. 1–6.

3.

Lee, Danielle, et al.. (2025). Deep Learning Hybrid Model for Equitable Data Representation: Physics Model Incorporating Ramp Traffic Dynamics & Data-Driven Enhancements. 252–260.

4.

Guo, Hao, Wanxin Li, Collin Meese, & Mark Nejad. (2024). Decentralized Electronic Health Records Management via Redactable Blockchain and Revocable IPFS. 167–171. 3 indexed citations

5.

Meese, Collin, Hang Chen, Wanxin Li, et al.. (2024). Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning. IEEE Transactions on Intelligent Transportation Systems. 25(9). 10725–10740. 7 indexed citations

6.

Meese, Collin, Danielle Lee, Hang Chen, & Mark Nejad. (2023). vLOFT: Variable Learning Rate for Online Federated Traffic Prediction. 4247–4253. 2 indexed citations

7.

Guo, Hao, Collin Meese, Wanxin Li, Chien‐Chung Shen, & Mark Nejad. (2023). B²SFL: A Bi-Level Blockchained Architecture for Secure Federated Learning-Based Traffic Prediction. IEEE Transactions on Services Computing. 16(6). 4360–4374. 10 indexed citations

8.

Li, Wanxin, Collin Meese, Mark Nejad, & Hao Guo. (2023). ZK-BFT: A Zero-knowledge and Byzantine Fault Tolerant Consensus for Permissioned Blockchain Networks. 70–77. 1 indexed citations

9.

Li, Wanxin, Collin Meese, Hao Guo, & Mark Nejad. (2023). Aggregated Zero-Knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9309–9323. 15 indexed citations

10.

Meese, Collin, et al.. (2022). BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction. arXiv (Cornell University). 317–326. 20 indexed citations

11.

Shaygan, Maryam, Collin Meese, Wanxin Li, Xiaoliang Zhao, & Mark Nejad. (2022). Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities. Transportation Research Part C Emerging Technologies. 145. 103921–103921. 117 indexed citations breakdown →

12.

Li, Wanxin, et al.. (2021). Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof. arXiv (Cornell University). 10 indexed citations

13.

Li, Wanxin, Collin Meese, Hao Guo, & Mark Nejad. (2020). Blockchain-Enabled Identity Verification for Safe Ridesharing Leveraging Zero-Knowledge Proof. 18–24. 20 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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