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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation
Zijian Shi, John Cartlidge
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 1607-1615
Open Access | Times Cited: 14

Showing 14 citing articles:

Event-Based Limit Order Book Simulation under a Neural Hawkes Process: Application in Market-Making
Anatoliy Swishchuk, Luca Lalor
(2025)
Closed Access
Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach
Zinuo You, Zijian Shi, Hongbo Bo, et al.
Lecture notes in computer science (2025), pp. 83-102
Closed Access
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
Zinuo You, Zijian Shi, Hongbo Bo, et al.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence (2024), pp. 431-442
Open Access | Times Cited: 3
Neural stochastic agent‐based limit order book simulation with neural point process and diffusion probabilistic model
Zijian Shi, John Cartlidge
Intelligent Systems in Accounting Finance & Management (2024) Vol. 31, Iss. 2
Open Access | Times Cited: 1
Limit order book dynamics and order size modelling using Compound Hawkes Process
K. C. Jain, Nick Firoozye, Jonathan Kochems, et al.
Finance research letters (2024), pp. 106157-106157
Open Access | Times Cited: 1
Explainable AI for Non-Experts: Energy Tariff Forecasting
Hongnan Ma, Kevin McAreavey, Ryan McConville, et al.
2022 27th International Conference on Automation and Computing (ICAC) (2022), pp. 1-6
Open Access | Times Cited: 6
What Will Make Misinformation Spread: An XAI Perspective
Hongbo Bo, Yiwen Wu, Zinuo You, et al.
Communications in computer and information science (2023), pp. 321-337
Closed Access | Times Cited: 3
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
Zinuo You, Zijian Shi, Hongbo Bo, et al.
arXiv (Cornell University) (2024)
Open Access
Limit Order Book Dynamics and Order Size Modelling Using Compound Hawkes Process
K. C. Jain, Nick Firoozye, Jonathan Kochems, et al.
SSRN Electronic Journal (2024)
Open Access
Neural Marked Hawkes Process for Limit Order Book Modeling
Guhyuk Chung, Yongjae Lee, Woo Chang Kim
Lecture notes in computer science (2024), pp. 197-209
Closed Access
Limit Order Book Dynamics and Order Size Modelling Using Compound Hawkes Process
K. C. Jain, Nick Firoozye, Jonathan Kochems, et al.
(2024)
Open Access
Artificial intelligence for collective intelligence: a national-scale research strategy
Seth Bullock, Nirav Ajmeri, Mike Batty, et al.
The Knowledge Engineering Review (2024) Vol. 39
Closed Access
Continuous‐time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equations
Ziheng Wang, Justin Sirignano
Mathematical Finance (2023) Vol. 34, Iss. 2, pp. 348-424
Open Access
HGTHP: a novel hyperbolic geometric transformer hawkes process for event prediction
Yiman Xie, Jianbin Wu
Applied Intelligence (2023)
Closed Access
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