OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Robust deep learning-based semantic organ segmentation in hyperspectral images
Silvia Seidlitz, Jan Sellner, Jan Odenthal, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102488-102488
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Hyperspectral imaging and its applications: A review
Anuja Bhargava, Ashish Sachdeva, Kulbhushan Sharma, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e33208-e33208
Open Access | Times Cited: 25

Deep Learning in Medical Hyperspectral Images: A Review
Rong Cui, He Yu, Tingfa Xu, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9790-9790
Open Access | Times Cited: 42

Postoperative free flap monitoring in reconstructive surgery—man or machine?
Samuel Knoedler, Cosima C. Hoch, Lioba Huelsboemer, et al.
Frontiers in Surgery (2023) Vol. 10
Open Access | Times Cited: 24

Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
Leonardo Ayala, Tim Adler, Silvia Seidlitz, et al.
Science Advances (2023) Vol. 9, Iss. 10
Open Access | Times Cited: 19

SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation
Boxiang Yun, Baiying Lei, Jieneng Chen, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 6, pp. 4610-4624
Closed Access | Times Cited: 16

Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey
Sardar Mehboob Hussain, Antonio Brunetti, Giuseppe Lucarelli, et al.
IEEE Access (2022) Vol. 10, pp. 122627-122657
Open Access | Times Cited: 24

On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving
Jon Gutiérrez‐Zaballa, Koldo Basterretxea, Javier Echanobe, et al.
Journal of Systems Architecture (2023) Vol. 139, pp. 102878-102878
Open Access | Times Cited: 15

In vivo evaluation of a hyperspectral imaging system for minimally invasive surgery (HSI-MIS)
Madeleine T. Thomaßen, H. Köhler, Annekatrin Pfahl, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 5, pp. 3691-3700
Open Access | Times Cited: 14

HeiPorSPECTRAL - the Heidelberg Porcine HyperSPECTRAL Imaging Dataset of 20 Physiological Organs
Alexander Studier‐Fischer, Silvia Seidlitz, Jan Sellner, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 13

Hyperspectral Imaging Algorithms and Applications: A Review
Mayur Akewar, Manoj B. Chandak
(2024)
Open Access | Times Cited: 5

Hyperspectral imaging suggests potential for rapid quantification of fission products in spent nuclear fuel
R. David Dunphy, A. Parker, Manuel Bandala, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Lightfield hyperspectral imaging in neuro-oncology surgery: an IDEAL 0 and 1 study
Oscar MacCormac, Philip J. Noonan, Mirek Janatka, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 11

Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy
Felix Nickel, Alexander Studier‐Fischer, Berkin Özdemir, et al.
European Journal of Surgical Oncology (2023), pp. 106908-106908
Closed Access | Times Cited: 9

Unsupervised band selection of medical hyperspectral images guided by data gravitation and weak correlation
Chenglong Zhang, Zhimin Zhang, Dexin Yu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107721-107721
Closed Access | Times Cited: 9

Prediction of toxicity outcomes following radiotherapy using deep learning-based models: A systematic review
Daryl Tan, Nashrul Fazli Mohd Nasir, Hanani Abdul Manan, et al.
Cancer/Radiothérapie (2023) Vol. 27, Iss. 5, pp. 398-406
Closed Access | Times Cited: 9

SAHIS-Net: a spectral attention and feature enhancement network for microscopic hyperspectral cholangiocarcinoma image segmentation
Yunchu Zhang, Jianfei Dong
Biomedical Optics Express (2024) Vol. 15, Iss. 5, pp. 3147-3147
Open Access | Times Cited: 3

PSO-SLIC algorithm: A novel automated method for the generation of high-homogeneity slope units using DEM data
Yange Li, Bangjie Fu, Zheng Han, et al.
Geomorphology (2024) Vol. 463, pp. 109367-109367
Closed Access | Times Cited: 3

Biophotonics—Intraoperative Guidance During Partial Nephrectomy: A Systematic Review and Meta-analysis
Luisa Egen, Greta S. Demmel, Maurizio Grilli, et al.
European Urology Focus (2024) Vol. 10, Iss. 2, pp. 248-258
Closed Access | Times Cited: 2

Alternative intraoperative optical imaging modalities for fluorescence angiography in gastrointestinal surgery: spectral imaging and imaging photoplethysmography
Claire Chalopin, Annekatrin Pfahl, H. Köhler, et al.
Minimally Invasive Therapy & Allied Technologies (2023) Vol. 32, Iss. 5, pp. 222-232
Open Access | Times Cited: 5

Semantic Segmentation of Surgical Hyperspectral Images Under Geometric Domain Shifts
Jan Sellner, Silvia Seidlitz, Alexander Studier‐Fischer, et al.
Lecture notes in computer science (2023), pp. 618-627
Closed Access | Times Cited: 5

Graph-Transformer with spatial-spectral features fusion for hyperspectral image classification
Zhouzhou Zheng, Mohamed Debbagh, Xuehai Zhou, et al.
Expert Systems with Applications (2024), pp. 125962-125962
Open Access | Times Cited: 1

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