Ulisses Braga-Neto

5.0k total citations · 1 hit paper
135 papers, 3.4k citations indexed

About

Ulisses Braga-Neto is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Ulisses Braga-Neto has authored 135 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 31 papers in Artificial Intelligence and 17 papers in Statistics and Probability. Recurrent topics in Ulisses Braga-Neto's work include Gene Regulatory Network Analysis (48 papers), Gene expression and cancer classification (39 papers) and Statistical Methods and Inference (16 papers). Ulisses Braga-Neto is often cited by papers focused on Gene Regulatory Network Analysis (48 papers), Gene expression and cancer classification (39 papers) and Statistical Methods and Inference (16 papers). Ulisses Braga-Neto collaborates with scholars based in United States, Brazil and Italy. Ulisses Braga-Neto's co-authors include Edward R. Dougherty, Mahdi Imani, Levi D. McClenny, Ernesto T. A. Marques, John Goutsias, Amin Zollanvari, Marli Tenório Cordeiro, Seyede Fatemeh Ghoreishi, Carlos Alexandre Antunes de Brito and Chenyang Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Ulisses Braga-Neto

134 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self-adaptive physics-informed neural networks

2022 246 citations Ulisses Braga-Neto et al. profile →

Peers

Ulisses Braga-Neto

CVPR

PHEOH

CSE

Frank Klawonn Germany

Dirk Husmeier United Kingdom

Christopher Bowman United States

Hongyu Miao United States

Vladimir Makarenkov Canada

Ping Ma China

Dick de Ridder Netherlands

Yanda Li China

Mehmet Gönen Türkiye

Shiyuan Wang China

Frank Klawonn Germany

Ulisses Braga-Neto

807 ×0.6

2.0k ×3.1

512 ×1.3

CVPR

115 ×0.3

PHEOH

435 ×1.4

CSE

Citations per year, relative to Ulisses Braga-Neto Ulisses Braga-Neto (= 1×) peers Frank Klawonn

Countries citing papers authored by Ulisses Braga-Neto

Since Specialization

Citations

This map shows the geographic impact of Ulisses Braga-Neto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ulisses Braga-Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulisses Braga-Neto more than expected).

Fields of papers citing papers by Ulisses Braga-Neto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulisses Braga-Neto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ulisses Braga-Neto. The network helps show where Ulisses Braga-Neto may publish in the future.

Co-authorship network of co-authors of Ulisses Braga-Neto

This figure shows the co-authorship network connecting the top 25 collaborators of Ulisses Braga-Neto. A scholar is included among the top collaborators of Ulisses Braga-Neto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ulisses Braga-Neto. Ulisses Braga-Neto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Braga-Neto, Ulisses, et al.. (2025). Physics-Informed Neural Networks for CO 2 migration modeling in stratified saline aquifers: Applications in geological carbon sequestration. Geoenergy Science and Engineering. 247. 213689–213689. 1 indexed citations

Dhal, Sambandh Bhusan, Jorge Alvarado, Ulisses Braga-Neto, & Benjamin Wherley. (2024). Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation. SHILAP Revista de lepidopterología. 9. 100569–100569. 4 indexed citations

Braga-Neto, Ulisses. (2024). Fundamentals of Pattern Recognition and Machine Learning. 4 indexed citations

Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2024). AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application. Remote Sensing. 16(15). 2754–2754. 1 indexed citations

Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2023). Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning. SSRN Electronic Journal. 2 indexed citations

Thomasson, J. Alex, Robert G. Hardin, Stephen W. Searcy, et al.. (2023). Plastic Contaminant Detection in Aerial Imagery of Cotton Fields Using Deep Learning. Agriculture. 13(7). 1365–1365. 4 indexed citations

Dhal, Sambandh Bhusan, Muthukumar Bagavathiannan, Ulisses Braga-Neto, & Stavros Kalafatis. (2022). Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis. PLoS ONE. 17(8). e0269401–e0269401. 21 indexed citations

Neto, Fernando Buarque de Lima, et al.. (2020). PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks From Time Series Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(3). 1807–1816. 5 indexed citations

Braga-Neto, Ulisses, et al.. (2019). On the Bias of Precision Estimation Under Separate Sampling. Cancer Informatics. 18. 2411607126–2411607126. 1 indexed citations

10.

Neto, Fernando Buarque de Lima, Ulisses Braga-Neto, Abigail W. Bigham, et al.. (2019). Severe Dengue Prognosis Using Human Genome Data and Machine Learning. IEEE Transactions on Biomedical Engineering. 66(10). 2861–2868. 51 indexed citations

11.

Hajiramezanali, Ehsan, Mahdi Imani, Ulisses Braga-Neto, Xiaoning Qian, & Edward R. Dougherty. (2019). Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty. BMC Genomics. 20(S6). 435–435. 16 indexed citations

12.

Imani, Mahdi, Roozbeh Dehghannasiri, Ulisses Braga-Neto, & Edward R. Dougherty. (2018). Sequential Experimental Design for Optimal Structural Intervention inGene Regulatory Networks Based on the Mean Objective Cost ofUncertainty. Europe PMC (PubMed Central). 18 indexed citations

13.

Imani, Mahdi, Seyede Fatemeh Ghoreishi, & Ulisses Braga-Neto. (2018). Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments. Neural Information Processing Systems. 31. 8146–8156. 59 indexed citations

14.

Karbalayghareh, Alireza, Ulisses Braga-Neto, & Edward R. Dougherty. (2018). Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks. BMC Systems Biology. 12(S3). 23–23. 9 indexed citations

15.

Gil, Laura H. V. G., et al.. (2011). Description of a Prospective 17DD Yellow Fever Vaccine Cohort in Recife, Brazil. American Journal of Tropical Medicine and Hygiene. 85(4). 739–747. 37 indexed citations

16.

Sun, Youting, Jianqiu Zhang, Ulisses Braga-Neto, & Edward R. Dougherty. (2010). BPDA - A Bayesian peptide detection algorithm for mass spectrometry. BMC Bioinformatics. 11(1). 490–490. 10 indexed citations

17.

Nascimento, Eduardo J. M., Ulisses Braga-Neto, Carlos Eduardo Calzavara-Silva, et al.. (2009). Gene Expression Profiling during Early Acute Febrile Stage of Dengue Infection Can Predict the Disease Outcome. PLoS ONE. 4(11). e7892–e7892. 65 indexed citations

18.

Sun, Youting, et al.. (2009). Impact of Missing Value Imputation on Classification for DNA Microarray Gene Expression Data—A Model-Based Study. SHILAP Revista de lepidopterología. 2009(1). 504069–504069. 17 indexed citations

19.

Braga-Neto, Ulisses & John Goutsias. (2005). Object-based image analysis using multiscale connectivity. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(6). 892–907. 12 indexed citations

20.

Braga-Neto, Ulisses, Ronaldo F. Hashimoto, Edward R. Dougherty, Danh V. Nguyen, & Raymond J. Carroll. (2004). Is cross-validation better than resubstitution for ranking genes?. Bioinformatics. 20(2). 253–258. 65 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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