Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Prediction of malaria transmission drivers in Anopheles mosquitoes using artificial intelligence coupled to MALDI-TOF mass spectrometry
Cécile Nabet, Aurélien Chaline, Jean‐François Franetich, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 25

Showing 25 citing articles:

Predicting the age of field Anopheles mosquitoes using mass spectrometry and deep learning
Noshine Mohammad, Pauline Naudion, Abdoulaye Kane Dia, et al.
Science Advances (2024) Vol. 10, Iss. 19
Open Access | Times Cited: 7
Identification of Southeast Asian Anopheles mosquito species using MALDI-TOF mass spectrometry
Victor Chaumeau, Martine Piarroux, Thithiworada Kulabkeeree, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0305167-e0305167
Open Access | Times Cited: 4
Challenges for ticks and tick-borne diseases research in Southeast Asia: Insight from the first international symposium in Cambodia
Sony Yean, Didot Budi Prasetyo, Sébastien Marcombe, et al.
PLoS neglected tropical diseases (2024) Vol. 18, Iss. 7, pp. e0012269-e0012269
Open Access | Times Cited: 4
Empreintes de spectrométrie de masse appliquées à l'étude des culicidés
Rym Bouledroua, Dikra Hamadouche, Zaina Amirat, et al.
Revue Francophone des Laboratoires (2025) Vol. 2025, Iss. 570, pp. 34-46
Closed Access
Deep metric learning for the classification of MALDI-TOF spectral signatures from multiple species of neotropical disease vectors
Fernando Merchán, Kenji Contreras, Rolando A. Gittens, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 3, pp. 100071-100071
Open Access | Times Cited: 8
Advancing Malaria Prediction in Uganda through AI and Geospatial Analysis Models
Maria Assumpta Komugabe, Richard Caballero, Itamar Shabtai, et al.
Journal of Geographic Information System (2024) Vol. 16, Iss. 02, pp. 115-135
Open Access | Times Cited: 2
Potential of MALDI-TOF MS biotyping to detect deltamethrin resistance in the dengue vector Aedes aegypti
Lionel Alméras, Monique Melo Costa, Rémy Amalvict, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303027-e0303027
Open Access | Times Cited: 2
Plasma-derived exosomal miRNA as potential biomarker for diagnosis and prognosis of vector-borne diseases: A review
Gokulakannan Venkatesan, Wan Suriana Wan Ab Rahman, Wan Nazatul Shima Shahidan, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 5
Wolbachia detection in Aedes aegypti using MALDI-TOF MS coupled to artificial intelligence
Antsa Rakotonirina, Cédric Caruzzo, Valentine Ballan, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 12
Rapid identification of mosquito species and age by mass spectrometric analysis
Iris Wagner, Linda Grigoraki, Peter Enevoldson, et al.
BMC Biology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 4
MALDI-TOF MS profiling and its contribution to mosquito-borne diseases: a systematic review
Monique Melo Costa, Vincent Corbel, Refka Ben Hamouda, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1
MALDI-TOF MS Profiling and Its Contribution to Mosquito-Borne Diseases: A Systematic Review
Monique Melo Costa, Vincent Corbel, Refka Ben Hamouda, et al.
Insects (2024) Vol. 15, Iss. 9, pp. 651-651
Open Access | Times Cited: 1
Identification of a clonal population of Aspergillus flavus by MALDI-TOF mass spectrometry using deep learning
Anne‐Cécile Normand, Aurélien Chaline, Noshine Mohammad, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Potential of MALDI-TOF MS biotyping to detect deltamethrin resistance in the dengue vectorAedes aegypti
Lionel Alméras, Monique Melo Costa, Rémy Amalvict, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
MALDI-TOF MS Limits for the Identification of Mediterranean Sandflies of the Subgenus Larroussius, with a Special Focus on the Phlebotomus perniciosus Complex
A Huguenin, B. Pesson, Matthieu L. Kaltenbach, et al.
Microorganisms (2022) Vol. 10, Iss. 11, pp. 2135-2135
Open Access | Times Cited: 4
Artificial intelligence (AI): a new window to revamp the vector-borne disease control
Basudev Nayak, Bonomali Khuntia, Laxman Kumar Murmu, et al.
Parasitology Research (2022) Vol. 122, Iss. 2, pp. 369-379
Closed Access | Times Cited: 4
Identification of Southeast AsianAnophelesmosquito species using MALDI-TOF mass spectrometry
Victor Chaumeau, Martine Piarroux, Thithiworada Kulabkeeree, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Evaluation of diffuse reflectance spectroscopy for predicting age, species, and cuticular resistance of Anopheles gambiae s.l under laboratory conditions
Mauro Pazmiño Betancourth, Victor Ochoa-Gutiérrez, Heather M. Ferguson, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
The first 6 years of surveillance of Aedes albopictus (Diptera: Culicidae) in Gibraltar
Jolyon M. Medlock, Rhian Guillem, C. Johnston, et al.
Journal of the European Mosquito Control Association (2022) Vol. 40, Iss. 1, pp. 23-35
Open Access | Times Cited: 2
Insecticide Resistance in Vectors of Medically Important Parasitic Infections
Taruna Kaura, N. N. Sharma, Abhishek Mewara
IntechOpen eBooks (2021)
Open Access | Times Cited: 1
Diffuse reflectance spectroscopy for predicting age, species, and insecticide resistance of the malaria mosquito Anopheles gambiae s.l
Mauro Pazmiño Betancourth, Victor Ochoa-Gutiérrez, Heather M. Ferguson, et al.
Research Square (Research Square) (2023)
Open Access
Intelligence artificielle et autres outils digitaux : apport à la microbiologie et aux maladies infectieuses
Alexandre Godmer, Yousra Kherabi, Grégoire Pasquier
Médecine et Maladies Infectieuses Formation (2023) Vol. 2, Iss. 3, pp. 117-129
Open Access
Entomolojide Yapay Sinir Ağlarının Kullanımı
Yeter KÜÇÜKTOPCU, İslam SARUHAN, Celal Tunçer, et al.
Ordu Üniversitesi Bilim ve Teknoloji Dergisi (2023) Vol. 13, Iss. 2, pp. 131-145
Open Access
Artificial Intelligence and Malaria
Cécile Nabet, Aniss Acherar, A Huguenin, et al.
Artificial Intelligence in Medicine (2022), pp. 1353-1368
Closed Access
Rapid identification of mosquito species, sex and age by mass spectrometric analysis
Iris Wagner, Linda Grigoraki, Peter Enevoldson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Page 1

Scroll to top