---
title: "FiQA: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 19 archived papers mentioned FiQA in their title, abstract, keywords or full text, most of them in Feb 2026 (3)."
url: https://scholar4ai.com/datasets/fiqa
markdown_url: https://scholar4ai.com/datasets/fiqa.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 19 archived papers mentioned FiQA in their title, abstract, keywords or full text, most of them in Feb 2026 (3). (as of 2026-11-04)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-04T18:03:26+09:00
window: 2026-10-06 to 2026-11-04
source: OpenAlex (CC0)
---

# FiQA

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/3.md)

Labelled financial texts used to train and test language models on finance.

- data category: Financial NLP datasets
- 0 papers in the last 7 days
- Names searched for: FiQA

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Financial NLP datasets datasets: https://scholar4ai.com/datasets/financial-nlp-datasets.md



## Key findings

- From Nov 2023 to Oct 2026, 19 archived papers mentioned FiQA in their title, abstract, keywords or full text, most of them in Feb 2026 (3).
- No paper of the tracked journals mentioned FiQA in the last 30 days (2026-10-06 to 2026-11-04).
- From 2017 to 2026 (so far), FiQA was mentioned in 20 papers in the tracked journals, most of them in AI (16), information systems (2) and finance (1).
- 6 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Centre National de la Recherche Scientifique (2), Chinese Academy of Sciences (2) and Erasmus University Rotterdam (2).
- The journals publishing most of them were Neural Computing and Applications (3), IEEE Transactions on Pattern Analysis and Machine Intelligence (2) and Artificial Intelligence Review (2).
- The most-cited of them is “AI for social science and social science of AI: A survey” (Information Processing & Management, 2024), with 126 citations.
- Papers use FiQA most often with Twitter / X (7), Wikipedia (7) and Financial PhraseBank (6); it has 7 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts, keywords and full texts)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 6 | 8 | 5 | 19 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 5 | 3 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 6 | 5 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| 2 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2 |
| 3 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2 |
| 4 | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 2 |
| 5 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |
| 6 | [Computers & Security](https://scholar4ai.com/journals/computers-security.md) | 1 |
| 7 | [Data & Knowledge Engineering](https://scholar4ai.com/journals/data-knowledge-engineering.md) | 1 |
| 8 | [Image and Vision Computing](https://scholar4ai.com/journals/image-and-vision-computing.md) | 1 |
| 9 | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 |
| 10 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 2 |
| 2 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 2 |
| 3 | [Erasmus University Rotterdam](https://scholar4ai.com/institutions/erasmus-university-rotterdam.md) | 2 |
| 4 | [Université de Lille](https://scholar4ai.com/institutions/universite-de-lille.md) | 2 |
| 5 | [Aalto University](https://scholar4ai.com/institutions/aalto-university.md) | 1 |
| 6 | American University | 1 |
| 7 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 1 |
| 8 | Centrale Lille Institut | 1 |
| 9 | Centre de Recherche en Informatique, Signal et Automatique de Lille | 1 |
| 10 | [Guangzhou University](https://scholar4ai.com/institutions/guangzhou-university.md) | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 7 |
| 2 | Australia | 2 |
| 3 | France | 2 |
| 4 | India | 2 |
| 5 | Netherlands | 2 |
| 6 | New Zealand | 2 |
| 7 | United States | 2 |
| 8 | Belgium | 1 |
| 9 | Finland | 1 |
| 10 | United Kingdom | 1 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 6 |
| 2 | aspect-based sentiment analysis | 3 |
| 3 | financial sentiment analysis | 3 |
| 4 | RoBERTa | 2 |
| 5 | benchmark dataset | 2 |
| 6 | benchmark evaluation | 2 |
| 7 | financial text | 2 |
| 8 | hallucinations | 2 |
| 9 | named entity recognition | 2 |
| 10 | [sentiment analysis](https://scholar4ai.com/keywords/sentiment-analysis.md) | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 126 | 3.8 | [AI for social science and social science of AI: A survey](https://doi.org/10.1016/j.ipm.2024.103665) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 2024-02-08 | R. F. Xu, Yingfei Sun, Mengjie Ren et al. |
| 2 | 104 | 5.9 | [Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence](https://doi.org/10.1109/tai.2025.3569516) | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 2025-05-13 | Timothy R. McIntosh, Teo Sušnjak, Nalin Asanka Gamagedara Arachchilage et al. |
| 3 | 93 | 3.6 | [A systematic review of aspect-based sentiment analysis: domains, methods, and trends](https://doi.org/10.1007/s10462-024-10906-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-09-17 | Yan Cathy Hua, Paul C. Denny, Jörg Simon Wicker et al. |
| 4 | 85 | 3.9 | [Large Language Models in Finance (FinLLMs)](https://doi.org/10.1007/s00521-024-10495-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2025-01-11 | Jean Lee, Nicholas Stevens, Soyeon Caren Han |
| 5 | 63 | 2.9 | [Approximate homomorphic encryption based privacy-preserving machine learning: a survey](https://doi.org/10.1007/s10462-024-11076-8) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-01-05 | Jiangjun Yuan, Weinan Liu, Jiawen Shi et al. |

## Used together with

Papers use FiQA most often with Twitter / X (7), Wikipedia (7) and Financial PhraseBank (6); it has 7 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

*What papers use FiQA together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 7 | 3.8 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 7 | 16.5 |
| [Financial PhraseBank](https://scholar4ai.com/datasets/financial-phrasebank.md) | Dataset | 6 | 717.6 |
| [FinQA / ConvFinQA / TAT-QA](https://scholar4ai.com/datasets/finqa-convfinqa-tat-qa.md) | Dataset | 4 | 683.4 |
| [Hugging Face Hub](https://scholar4ai.com/datasets/hugging-face-hub.md) | Dataset | 4 | 20.5 |
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 4 | 4.2 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 3 | 2.4 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). FiQA. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/fiqa

```bibtex
@misc{scholar4ai-datasets-fiqa,
  author = {{Scholar4AI}},
  title = {FiQA},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/fiqa}},
  urldate = {2026-11-04},
  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/).