Lu Han
- Signal Processing top 2%
- Speech and Audio Processing 8
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 9
- Natural Language Processing Techniques 6
- Text and Document Classification Technologies 6
- Imbalanced Data Classification Techniques 5
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 5
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction 7
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- Opportunistic and Delay-Tolerant Networks 7
- Co-authors
- Anshuman TripathiHaşim SakLiyan HanQian ZhangShankar KumarErik McDermottLiviu IftodeZhi Su
- Journals
- Sensors (3 papers)Applied Sciences (3 papers)Journal of Antimicrobial Chemotherapy (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lu Han
100 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Signal Processing 310
- Artificial Intelligence 559
- Molecular Medicine 66
- Computer Vision and Pattern Recognition 171
- Accounting 86
Countries citing papers authored by Lu Han
This map shows the geographic impact of Lu Han'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 Lu Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Han more than expected).
Fields of papers citing papers by Lu Han
This network shows the impact of papers produced by Lu Han. 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 Lu Han. The network helps show where Lu Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 7 | |
| 14 | Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Lossbreakdown → | 2020 | 277 |
| 15 | 2020 | 75 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 3 | |
| 18 | 2018 | 10 | |
| 19 | 2013 | 21 | |
| 20 | Analysis of the Development of China's Industry Investment Fund | 2010 | 1 |
About Lu Han
Lu Han is a scholar working on Molecular Medicine, Artificial Intelligence, Signal Processing, Accounting and Information Systems and Management, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (8 papers), Opportunistic and Delay-Tolerant Networks (7 papers), Financial Distress and Bankruptcy Prediction (7 papers), Natural Language Processing Techniques (6 papers), Text and Document Classification Technologies (6 papers), Imbalanced Data Classification Techniques (5 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Signal Processing (310 citations), Artificial Intelligence (559 citations), Molecular Medicine (66 citations), Computer Vision and Pattern Recognition (171 citations) and Accounting (86 citations). Lu Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Anshuman Tripathi, Haşim Sak, Liyan Han, Qian Zhang, Shankar Kumar, Erik McDermott, Liviu Iftode, Zhi Su, Chongchong Yu and Pravin Shankar. Their work appears in journals such as Sensors, Applied Sciences, Journal of Antimicrobial Chemotherapy, Knowledge and Information Systems and Computational Economics.
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.