Enrico Fini

1.4k total citations
12 papers, 338 citations indexed

About

Enrico Fini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Enrico Fini has authored 12 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Astronomy and Astrophysics. Recurrent topics in Enrico Fini's work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (3 papers) and Speech and dialogue systems (2 papers). Enrico Fini is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (3 papers) and Speech and dialogue systems (2 papers). Enrico Fini collaborates with scholars based in Italy, France and China. Enrico Fini's co-authors include Elisa Ricci, Zhun Zhong, Moin Nabi, Xavier Alameda-Pineda, Enver Sangineto, Stéphane Lathuilière, Victor G. Turrisi da Costa, Karteek Alahari, Julien Mairal and Nicu Sebe and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Enrico Fini

9 papers receiving 335 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Enrico Fini Italy	7	254	179	28	27	15	12	338
Muhammad Uzair Khattak United Arab Emirates	5	287 1.1×	298 1.7×	30 1.1×	19 0.7×	17 1.1×	10	468
Tong Che Algeria	7	199 0.8×	140 0.8×	42 1.5×	16 0.6×	10 0.7×	9	268
Zhihe Lu China	8	263 1.0×	384 2.1×	37 1.3×	21 0.8×	28 1.9×	16	458
Heewoo Jun United States	4	160 0.6×	250 1.4×	16 0.6×	63 2.3×	20 1.3×	4	366
Itamar Friedman Cayman Islands	5	251 1.0×	195 1.1×	41 1.5×	21 0.8×	17 1.1×	6	391
Gustav Larsson United States	4	254 1.0×	320 1.8×	41 1.5×	18 0.7×	45 3.0×	6	451
Emanuel Ben-Baruch Cayman Islands	3	249 1.0×	199 1.1×	41 1.5×	23 0.9×	21 1.4×	3	400

Countries citing papers authored by Enrico Fini

Since Specialization

Citations

This map shows the geographic impact of Enrico Fini'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 Enrico Fini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Fini more than expected).

Fields of papers citing papers by Enrico Fini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enrico Fini. 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 Enrico Fini. The network helps show where Enrico Fini may publish in the future.

Co-authorship network of co-authors of Enrico Fini

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Fini. A scholar is included among the top collaborators of Enrico Fini 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 Enrico Fini. Enrico Fini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Fini, Enrico, Xiujun Li, Philipp Dufter, et al.. (2025). Multimodal Autoregressive Pre-training of Large Vision Encoders. 9641–9654. 1 indexed citations

Wang, Yiming, et al.. (2024). Retrieval-enriched zero-shot image classification in low-resource domains. CINECA IRIS Institutial research information system (University of Pisa). 21287–21302.

Fini, Enrico, et al.. (2024). Continual Contrastive Spoken Language Understanding. 3727–3741. 1 indexed citations

Jha, Ankit, et al.. (2024). StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization. 5530–5540. 14 indexed citations

Fini, Enrico, et al.. (2023). Vocabulary-free Image Classification. 30662–30680.

Yang, Guanglei, Enrico Fini, Dan Xu, et al.. (2022). Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Transactions on Multimedia. 25. 3841–3854. 23 indexed citations

Yang, Guanglei, Enrico Fini, Dan Xu, et al.. (2022). Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2567–2581. 47 indexed citations

Fini, Enrico, et al.. (2022). Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. 2022 26th International Conference on Pattern Recognition (ICPR). 2589–2596. 17 indexed citations

Fini, Enrico, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, et al.. (2022). Self-Supervised Models are Continual Learners. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9611–9620. 76 indexed citations

10.

Fini, Enrico, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, & Moin Nabi. (2021). A Unified Objective for Novel Class Discovery. IRIS UNIMORE (University of Modena and Reggio Emilia). 83 indexed citations

11.

Zhong, Zhun, Enrico Fini, Subhankar Roy, et al.. (2021). Neighborhood Contrastive Learning for Novel Class Discovery. Institutional Research Information System (Università degli Studi di Trento). 10862–10870. 74 indexed citations

12.

Fini, Enrico. (2019). A deep learning approach to sunspot detection and counting. 2 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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