Houston 2013 / 2018

data category: Remote sensing benchmarks · 0 papers in the last 7 days

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Hyperspectral and aerial image collections used to compare classification and detection methods.

Names searched for: Houston 2013, Houston2013, Houston 2018, Houston2018

Key findings#

From Nov 2023 to Oct 2026, 13 archived papers mentioned Houston 2013 / 2018 in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (2).
No paper of the tracked journals mentioned Houston 2013 / 2018 in the last 30 days (2026-10-06 to 2026-11-04).
From 2017 to 2026 (so far), Houston 2013 / 2018 was mentioned in 13 papers in the tracked journals, most of them in AI (6), marketing (3) and finance (2).
4 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Aerospace Information Research Institute (1), Beijing National Research Center for Information Science and Technology (1) and Charles Sturt University (1).
The journals publishing most of them were Journal of Brand Management (2), Industrial Marketing Management (1) and Pattern Recognition (1).
The most-cited of them is “A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions” (Journal Of Big Data, 2024), with 635 citations.
Papers use Houston 2013 / 2018 most often with Pavia University / Pavia Centre (5); it has 1 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

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)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	6	5	2	13

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2023	2024	2025	2026 (so far)
AI	0	5	0	1
Marketing	0	1	2	0
Finance	0	0	1	1
Accounting	1	0	1	0
All categories	1	6	4	2

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Journal of Brand Management	2
2	Industrial Marketing Management	1
3	Pattern Recognition	1
4	Artificial Intelligence Review	1
5	The British Accounting Review	1
6	Applied Intelligence	1
7	Pacific-Basin Finance Journal	1
8	Expert Systems with Applications	1
9	Review of Accounting Studies	1
10	IEEE Transactions on Neural Networks and Learning Systems	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	Aerospace Information Research Institute	1
2	Beijing National Research Center for Information Science and Technology	1
3	Charles Sturt University	1
4	Chinese Academy of Sciences	1
5	Collège MacDonald	1
6	Edith Cowan University	1
7	Indiana University	1
8	Indiana University Bloomington	1
9	Inner Mongolia University	1
10	Islamic Azad University, Karaj	1

Countries with the most papers, since 2023
#	Country	Papers
1	Australia	5
2	China	4
3	India	2
4	Belgium	1
5	Canada	1
6	Germany	1
7	United Kingdom	1
8	Hungary	1
9	Iran	1
10	Oman	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	hyperspectral image classification	4
2	graph convolutional networks	3
3	brand associations	2
4	brand uniqueness	2
5	limited labeled data	2
6	CEO personality	1
7	GraphSAGE	1
8	Pavia University dataset	1
9	adversarial defense	1
10	adversarial robustness	1

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	635	18.9	A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions	Journal Of Big Data	2024-01-16	Bharti Khemani, Shruti Patil, Ketan V. Kotecha et al.
2	117	4.3	Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets	Artificial Intelligence Review	2024-08-02	Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi
3	18	0.8	Graph-Transformer with spatial-spectral features fusion for hyperspectral image classification	Expert Systems with Applications	2024-11-27	Zhouzhou Zheng, Mohamed Debbagh, Xuehai Zhou et al.
4	16	0.6	Probabilistic deep metric learning for hyperspectral image classification	Pattern Recognition	2024-08-10	Chengkun Wang, Wenzhao Zheng, Xian Sun et al.
5	14	0.4	The effect of key audit matters and management disclosures on auditors’ judgements and decisions: An exploratory study	The British Accounting Review	2023-12-28	Jin Ma, Paul J. Coram, Indrit Troshani

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.

Used together with#

Papers use Houston 2013 / 2018 most often with Pavia University / Pavia Centre (5); it has 1 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 Houston 2013 / 2018 together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
Pavia University / Pavia Centre	Dataset	5	736.0

Cite this page

Scholar4AI. (2026). Houston 2013 / 2018. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/houston-2013-2018

@misc{scholar4ai-datasets-houston-2013-2018,
  author = {{Scholar4AI}},
  title = {Houston 2013 / 2018},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/houston-2013-2018}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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