From Nov 2023 to Oct 2026, 105 archived papers mentioned Skeleton and pose (NTU RGB+D, Human3.6M) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Dec 2025 (8).
Skeleton and pose (NTU RGB+D, Human3.6M) was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
By journal category: AI (1).
Most of them appeared in Pattern Recognition (1).
From 2017 to 2026 (so far), Skeleton and pose (NTU RGB+D, Human3.6M) was mentioned in 160 papers in the tracked journals, most of them in AI (158), operations research (1) and information systems (1).
33 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (6), Peking University (6) and Beihang University (5).
The journals publishing most of them were Pattern Recognition (23), IEEE Transactions on Pattern Analysis and Machine Intelligence (21) and IEEE Transactions on Neural Networks and Learning Systems (11).
The most-cited of them is “NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019), with 1,833 citations.
Papers use Skeleton and pose (NTU RGB+D, Human3.6M) most often with Action recognition (Kinetics, UCF101, HMDB51) (17), ImageNet (17) and MS COCO (15); it has 12 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use Skeleton and pose (NTU RGB+D, Human3.6M) most often with Action recognition (Kinetics, UCF101, HMDB51) (17), ImageNet (17) and MS COCO (15); it has 12 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →
What papers use Skeleton and pose (NTU RGB+D, Human3.6M) together with (at least 3 papers; lift 1 = chance)
Nanjing University of Information Science and Technology; Jiangsu Open University
Cite this page
Scholar4AI. (2026). Skeleton and pose (NTU RGB+D, Human3.6M). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/skeleton-and-pose-ntu-rgb-d-human3-6m
@misc{scholar4ai-datasets-skeleton-and-pose-ntu-rgb-d-human3-6m,
author = {{Scholar4AI}},
title = {Skeleton and pose (NTU RGB+D, Human3.6M)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/skeleton-and-pose-ntu-rgb-d-human3-6m}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).