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:

Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service
Baolin Li, Siddharth Samsi, Vijay Gadepally, et al.
(2023), pp. 1-15
Open Access | Times Cited: 18

Showing 18 citing articles:

Deep Learning Workload Scheduling in GPU Datacenters: A Survey
Zhisheng Ye, Wei Gao, Qinghao Hu, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 6, pp. 1-38
Open Access | Times Cited: 15

InSS: An Intelligent Scheduling Orchestrator for Multi-GPU Inference with Spatio-Temporal Sharing
Ziyi Han, Ruiting Zhou, Cheng‐Zhong Xu, et al.
IEEE Transactions on Parallel and Distributed Systems (2024) Vol. 35, Iss. 10, pp. 1735-1748
Closed Access | Times Cited: 5

Beyond Test-Time Compute Strategies: Advocating Energy-per-Token in LLM Inference
Pascal Wilhelm, Thorsten Wittkopp, Odej Kao
(2025), pp. 208-215
Closed Access

A Critical Analysis of Machine Learning Eco-feedback Tools through the Lens of Sustainable HCI
Sinem Görücü, Luiz Morais, Georgia Panagiotidou
(2025), pp. 1-18
Closed Access

SLO-aware GPU DVFS for Energy-efficient LLM Inference Serving
Andreas Kosmas Kakolyris, Dimosthenis Masouros, Sotirios Xydis, et al.
IEEE Computer Architecture Letters (2024) Vol. 23, Iss. 2, pp. 150-153
Closed Access | Times Cited: 3

The Environmental Cost of Engineering Machine Learning-Enabled Systems
Kouider Chadli, Goetz Botterweck, Takfarinas Saber
(2024), pp. 200-207
Closed Access | Times Cited: 2

The Hidden Carbon Footprint of Serverless Computing
Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, et al.
(2024), pp. 570-579
Closed Access | Times Cited: 1

InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment
Qiangyu Pei, Lin Wang, Dong Zhang, et al.
(2024), pp. 487-504
Closed Access | Times Cited: 1

A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks
Kishan Sthankiya, Nagham Saeed, Greg Mcsorley, et al.
IEEE Access (2024) Vol. 12, pp. 157540-157555
Open Access | Times Cited: 1

Real-Time Ideation Analyzer and Information Recommender
Midhad Blazevic, Lennart B. Sina, Cristian A. Secco, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1761-1761
Open Access

Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling
Sohaib Ahmad, Hui Guan, Ramesh K. Sitaraman
(2024) Vol. 1, pp. 267-280
Open Access

Sustainable Engineering of Machine Learning-Enabled Systems: A Systematic Mapping Study
Kouider Chadli, Goetz Botterweck, Takfarinas Saber
Research Square (Research Square) (2024)
Open Access

The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling
Noman Bashir, Varun Gohil, Anagha Belavadi Subramanya, et al.
(2024), pp. 542-551
Open Access

Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems
Grant Wilkins, Srinivasan Keshav, Richard Mortier
ACM SIGEnergy Energy Informatics Review (2024) Vol. 4, Iss. 5, pp. 113-119
Closed Access

Carbon in Motion: Characterizing Open-Sora on the Sustainability of Generative AI for Video Generation
Baolin Li, Yankai Jiang, Devesh Tiwari
ACM SIGEnergy Energy Informatics Review (2024) Vol. 4, Iss. 5, pp. 160-165
Closed Access

OLTunes: Online learning-based Auto-tuning System for DL Inference in Heterogeneous GPU Cluster
Seoyoung Kim, Ji-Won Ha, Chongam Kim
Research Square (Research Square) (2024)
Open Access

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