Hossein Hadian

563 total citations
16 papers, 333 citations indexed

About

Hossein Hadian is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hossein Hadian has authored 16 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hossein Hadian's work include Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (7 papers) and Natural Language Processing Techniques (6 papers). Hossein Hadian is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (7 papers) and Natural Language Processing Techniques (6 papers). Hossein Hadian collaborates with scholars based in Iran, United States and Greece. Hossein Hadian's co-authors include Sanjeev Khudanpur, Daniel Povey, Hossein Sameti, Pegah Ghahremani, Ke Li, Vimal Manohar, Hossein Zeinali, Bagher BabaAli, Jan Trmal and Desh Raj and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IET Biometrics and International Conference on Computational Linguistics.

In The Last Decade

Hossein Hadian

14 papers receiving 300 citations

Peers

Hossein Hadian
Zhendong Peng China
Matt Shannon United Kingdom
Jay Mahadeokar United States
Hainan Xu United States
Vitaly Lavrukhin United States
Tom Bagby United States
Mahsa Yarmohammadi United States
Mike Seltzer United States
Debadatta Pati India
Zhendong Peng China
Hossein Hadian
Citations per year, relative to Hossein Hadian Hossein Hadian (= 1×) peers Zhendong Peng

Countries citing papers authored by Hossein Hadian

Since Specialization
Citations

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

Fields of papers citing papers by Hossein Hadian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Hadian

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

All Works

16 of 16 papers shown
1.
Hadian, Hossein, et al.. (2020). An Alternative to MFCCs for ASR. 1664–1667. 1 indexed citations
2.
Arora, Ashish, Leibny Paola Garcia, Shinji Watanabe, et al.. (2019). Using ASR Methods for OCR. 663–668. 11 indexed citations
3.
Hadian, Hossein, Hossein Sameti, Daniel Povey, & Sanjeev Khudanpur. (2018). End-to-end Speech Recognition Using Lattice-free MMI. 12–16. 87 indexed citations
4.
Manohar, Vimal, Hossein Hadian, Daniel Povey, & Sanjeev Khudanpur. (2018). Semi-Supervised Training of Acoustic Models Using Lattice-Free MMI. 4844–4848. 33 indexed citations
5.
Ghahremani, Pegah, Hossein Hadian, Hang Lv, Daniel Povey, & Sanjeev Khudanpur. (2018). Acoustic Modeling from Frequency Domain Representations of Speech. 1596–1600. 6 indexed citations
6.
Hadian, Hossein, Hossein Sameti, Daniel Povey, & Sanjeev Khudanpur. (2018). Flat-Start Single-Stage Discriminatively Trained HMM-Based Models for ASR. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(11). 1949–1961. 28 indexed citations
7.
Hadian, Hossein, Daniel Povey, Hossein Sameti, Jan Trmal, & Sanjeev Khudanpur. (2018). Improving LF-MMI Using Unconstrained Supervisions for ASR. 88. 43–47. 4 indexed citations
8.
Povey, Daniel, Hossein Hadian, Pegah Ghahremani, Ke Li, & Sanjeev Khudanpur. (2018). A Time-Restricted Self-Attention Layer for ASR. 99 indexed citations
9.
Hadian, Hossein, Daniel Povey, Hossein Sameti, & Sanjeev Khudanpur. (2017). Phone Duration Modeling for LVCSR Using Neural Networks. 518–522. 1 indexed citations
10.
Ghahremani, Pegah, Vimal Manohar, Hossein Hadian, Daniel Povey, & Sanjeev Khudanpur. (2017). Investigation of transfer learning for ASR using LF-MMI trained neural networks. 279–286. 40 indexed citations
11.
Zeinali, Hossein, Bagher BabaAli, & Hossein Hadian. (2017). Online signature verification using i‐vector representation. IET Biometrics. 7(5). 405–414. 7 indexed citations
12.
Sameti, Hossein, et al.. (2017). Persian large vocabulary name recognition system (FarsName). 1580–1583.
13.
Sameti, Hossein, et al.. (2017). Speech activity detection using deep neural networks. 1564–1568. 3 indexed citations
14.
Zeinali, Hossein, Hossein Sameti, & Hossein Hadian. (2015). Real-time speaker identification using speaker model distance. 643–647. 1 indexed citations
15.
Zeinali, Hossein, et al.. (2015). Telephony text-prompted speaker verification using i-vector representation. 4839–4843. 11 indexed citations
16.
Hadian, Hossein & Hossein Sameti. (2014). Active Learning in Noisy Conditions for Spoken Language Understanding. International Conference on Computational Linguistics. 1081–1090. 1 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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