--- title: "pandas-dev/pandas: Pandas: papers citing this dataset" description: "20 papers in the tracked journals link to the Zenodo dataset pandas-dev/pandas: Pandas in their Crossref records, the first in 2021; most of them (7) in 2025." url: https://scholar4ai.com/code/zenodo-3509134 markdown_url: https://scholar4ai.com/code/zenodo-3509134.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "20 papers in the tracked journals link to the Zenodo dataset pandas-dev/pandas: Pandas in their Crossref records, the first in 2021; most of them (7) in 2025. (as of 2026-11-03)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-03T14:43:26+09:00 window: 2026-10-05 to 2026-11-03 source: OpenAlex (CC0) --- # pandas-dev/pandas: Pandas: papers linking to it Research papers in the 480 tracked journals that link to pandas-dev/pandas: Pandas (https://doi.org/10.5281/zenodo.3509134), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from. - Zenodo - Software - 2026 - archives github.com/pandas-dev/pandas - https://doi.org/10.5281/zenodo.3509134 All repositories: https://scholar4ai.com/code.md ## Key findings - 20 papers in the tracked journals link to the Zenodo dataset pandas-dev/pandas: Pandas in their Crossref records, the first in 2021; most of them (7) in 2025. - By category: AI (13), Operations Research (3) and Information Systems (2); the journals with the most are Expert Systems with Applications (3), Neural Computing and Applications (3) and Applied Intelligence (2). ## By year *Papers linking to pandas-dev/pandas: Pandas by publication year* | Year | Papers | |---|---:| | 2021 | 3 | | 2022 | 3 | | 2024 | 5 | | 2025 | 7 | | 2026 | 2 | ## Journals *Journals whose papers link to pandas-dev/pandas: Pandas most* | Journal | Papers | |---|---:| | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 3 | | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 | | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2 | | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | 1 | | [Transportation](https://scholar4ai.com/journals/transportation.md) | 1 | ## Papers *Papers linking to pandas-dev/pandas: Pandas, most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2021-02-26 | [BERT: a sentiment analysis odyssey](https://doi.org/10.1057/s41270-021-00109-8) | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | Shivaji Alaparthi, Manit Mishra | 147 | cites it | | 2025-01-15 | [Visual cognition in multimodal large language models](https://doi.org/10.1038/s42256-024-00963-y) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge et al. | 60 | cites it | | 2021-11-01 | [TaxoDaCML: Taxonomy based Divide and Conquer using machine learning approach for DDoS attack classification](https://doi.org/10.1016/j.jjimei.2021.100048) | [International Journal of Information Management Data Insights](https://scholar4ai.com/journals/international-journal-of-information-management-data-insights.md) | Onkar Thorat, Nirali Parekh, Ramchandra Sharad Mangrulkar | 39 | cites it | | 2022-05-03 | [Estimation of missing air pollutant data using a spatiotemporal convolutional autoencoder](https://doi.org/10.1007/s00521-022-07224-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | I Nyoman Kusuma Wardana, Julian W. Gardner, Suhaib A. Fahmy | 30 | cites it | | 2024-09-10 | [ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback](https://doi.org/10.1007/s10489-024-05796-1) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Sagar Sen, Victor E. Gonzalez-Sanchez, Erik Johannes Husom et al. | 27 | cites it | | 2021-03-27 | [Linking place records using multi-view encoders](https://doi.org/10.1007/s00521-021-05932-9) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Vincius Cousseau, Luciano Barbosa | 14 | cites it | | 2022-02-05 | [Managing, storing, and sharing long-form recordings and their annotations](https://doi.org/10.1007/s10579-022-09579-3) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Lucas Gautheron, Nicolas Rochat, Alejandrina Cristià | 9 | cites it | | 2024-11-22 | [Data-based optimisation of intra-hospital patient transport capacity planning](https://doi.org/10.1007/s00291-024-00795-7) | [OR Spectrum](https://scholar4ai.com/journals/or-spectrum.md) | Tobias Kropp, Yuhao Gao, Kunibert Lennerts | 9 | cites it | | 2022-04-15 | [Fitting multiple temporal usage patterns in day-ahead hourly building load forecasting under patch learning framework](https://doi.org/10.1007/s00521-022-07152-1) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Zhaohui Dan, Bo Yuan Wang, Qian Zhang et al. | 7 | cites it | | 2024-05-28 | [How Artificial Intelligence Challenges Tailorable Technology Design](https://doi.org/10.1007/s12599-024-00872-9) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Pascal Fechner, Fabian König, Jannik Lockl et al. | 4 | cites it | | 2025-03-03 | [Active tokens and crypto-asset valuation](https://doi.org/10.1186/s40854-025-00752-5) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Konstantinos Pantelidis | 4 | cites it | | 2025-08-01 | [Neural-FCM: a deep learning approach for weight matrix optimization in Fuzzy Cognitive Map classifiers](https://doi.org/10.1007/s10489-025-06795-6) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Theodoros Tziolas, K. Papageorgiou, Ioannis D. Apostolopoulos et al. | 3 | cites it | | 2024-07-11 | [Car energy efficiency and emissions in the built environment](https://doi.org/10.1007/s11116-024-10491-8) | [Transportation](https://scholar4ai.com/journals/transportation.md) | Chris Djie ten Dam, Francisco J. Bahamonde-Birke, Dick Ettema et al. | 2 | cites it | | 2025-07-21 | [CoSTI: Consistency models for (a faster) spatio-temporal imputation](https://doi.org/10.1016/j.knosys.2025.114117) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Javier Solí­s-Garcí­a, Belén Vega-Márquez, Juan A. Nepomuceno et al. | 2 | cites it | | 2024-10-27 | [HepScope: CNN-based single-cell discrimination of malignant hepatocytes](https://doi.org/10.1186/s40537-024-01024-2) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Yunjin Go, Jestlin Tianthing Ng, Wan‐Teck Lim et al. | 1 | cites it | | 2025-07-03 | [Predicting use of intensive care units during the COVID-19 pandemic](https://doi.org/10.1007/s12063-025-00558-9) | [Operations Management Research](https://scholar4ai.com/journals/operations-management-research.md) | Kathyana Perez, José M. Slater, Lorena Pradenas et al. | 1 | cites it | | 2025-09-27 | [Markov-based continuous learning with diversion of data distribution direction for streaming data in limited memory](https://doi.org/10.1016/j.eswa.2025.129818) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Peemapat Wongsriphisant, Kitiporn Plaimas, Chidchanok Lursinsap | 1 | cites it | | 2025-04-23 | [Clustering using GRASP and path relinking for the max k-cut problem](https://doi.org/10.1007/s10618-025-01099-2) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Bharadwaj Sudarsan, Ganesh Kumar Pugalendhi | 0 | cites it | | 2026-01-02 | [Span-level target and harmfulness detection in code-mixed hinglish using cross-lingual and multilingual transformers](https://doi.org/10.1016/j.eswa.2025.131033) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Ashutosh Upadhyay, Eishaan Khatri, Harish Pratap Singh et al. | 0 | cites it | | 2026-01-22 | [Hierarchical evaluation function: a multi-metric approach for optimizing demand forecasting models](https://doi.org/10.1016/j.eswa.2026.131289) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Adolfo González, Vı́ctor Parada | 0 | cites it | ## How this is measured Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month. ## Cite this page Scholar4AI. (2026). pandas-dev/pandas: Pandas: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-3509134 ```bibtex @misc{scholar4ai-code-zenodo-3509134, author = {{Scholar4AI}}, title = {pandas-dev/pandas: Pandas: papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/zenodo-3509134}}, urldate = {2026-11-03}, note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).