---
title: "IEEE Transactions on Knowledge and Data Engineering"
description: "IEEE Transactions on Knowledge and Data Engineering published 2 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #175 of 239 journals."
url: https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering
markdown_url: https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "IEEE Transactions on Knowledge and Data Engineering published 2 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #175 of 239 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:52:47+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# IEEE Transactions on Knowledge and Data Engineering

- 0 papers in the last 7 days
- category: AI
- publisher: IEEE Computer Society
- ISSN 1041-4347

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- IEEE Transactions on Knowledge and Data Engineering published 2 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #175 of 239 journals.
- Leading institutions: Sun Yat-sen University (1), Beijing Jiaotong University (1) and Oldham Council (1).
- Countries: China (2) and United Kingdom (1).
- From Oct 2023 to Sep 2026, IEEE Transactions on Knowledge and Data Engineering published 1,602 papers (44 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “graph neural networks” (141), “large language models” (90) and “contrastive learning” (73).
- Its most-cited paper of the period is “Graph Neural Networks for Graphs With Heterophily: A Survey” (2026-04-02), with 110 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 501 | 507 | 594 | 1,602 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 141 |
| 2 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 90 |
| 3 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 73 |
| 4 | recommender systems | 60 |
| 5 | interpretability | 39 |
| 6 | class imbalance | 35 |
| 7 | knowledge graphs | 34 |
| 8 | self-supervised learning | 34 |
| 9 | data augmentation | 33 |
| 10 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 32 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 110 | 16.2 | [Graph Neural Networks for Graphs With Heterophily: A Survey](https://doi.org/10.1109/tkde.2026.3680353) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2026-04-02 | Xin Zheng, Yi Wang, Yixin Liu et al. |
| 2 | 90 | 5.6 | [Deep Graph Anomaly Detection: A Survey and New Perspectives](https://doi.org/10.1109/tkde.2025.3581578) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2025-06-23 | Hezhe Qiao, Hanghang Tong, Bo An et al. |
| 3 | 69 | 4.6 | [A Survey of Text-to-SQL in the Era of LLMs: Where Are We, and Where Are We Going?](https://doi.org/10.1109/tkde.2025.3592032) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2025-07-24 | Xinyu Liu, Shuyu Shen, Boyan Li et al. |
| 4 | 67 | 3.8 | [GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values](https://doi.org/10.1109/tkde.2025.3569649) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2025-05-13 | Chengqing Yu, Fei Wang, Zezhi Shao et al. |
| 5 | 61 | 3.5 | [ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction](https://doi.org/10.1109/tkde.2025.3570705) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2025-05-15 | Chenxi Liu, Kethmi Hirushini Hettige, Qianxiong Xu et al. |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-08 | [Entity-Dependent Relation Learning for Knowledge Graph Completion](https://doi.org/10.1109/tkde.2026.3720279) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | Kangye Wang, Pengwen Dai, Chuan Wang et al. | Sun Yat-sen University; Beijing Jiaotong University |
| 2026-10-08 | [Toward Practical Large-Scale Dynamic Heterogeneous Graph Embedding: Cold-Start Resilient Recommendation](https://doi.org/10.1109/tkde.2026.3728237) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | Mabiao Long, Jiaxi Liu, YuFeng LI et al. | Shanghai Jiao Tong University; Oldham Council; Fudan University |

## Cite this page

Scholar4AI. (2026). IEEE Transactions on Knowledge and Data Engineering. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering

```bibtex
@misc{scholar4ai-journals-ieee-transactions-on-knowledge-and-data-engineering,
  author = {{Scholar4AI}},
  title = {IEEE Transactions on Knowledge and Data Engineering},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering}},
  urldate = {2026-10-26},
  note = {Journal 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/).