Lu Han

2.5k citations
127 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Papers in

Lu Han

111 papers receiving 1.6k citations

Lu Han's Hit Papers

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss 2020 · 298 citations
2980+2+4Years since publication50100150200250

Peers

Lu Han
Comparison fields: 5 of 157
  • Signal Processing 332
  • Artificial Intelligence 619
  • Molecular Medicine 66
  • Computer Vision and Pattern Recognition 195
  • Accounting 94
Replace Xiaohong Zhang with:
Xiaohong Zhang China
Shan Xue China
Fernando Jiménez Spain
Dharmendra Singh Rajput India
Ernestina Menasalvas Spain
Yan Jia China
Michel Lang Germany
Aimin Yang China
Yuan-Fang Wang United States
Lan Du Australia
Lu Han relative to Xiaohong Zhang China Xiaohong Zhang's profile →
Citations per field
00.5×5.1×
Xiaohong Zhang · 1×
Citations per year

Countries citing papers authored by Lu Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Lu Han Line = papers co-authored together Lu Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss
Hit paper breakdown →
2020298
2 2008123
3 202090
4 201987
5 201783
6 201478
7 201855
8 201950
9 201543
10 201240
11 202037
12 202233
13 201932
14 200932
15 202030
16 201828
17 202023
18 202222
19 201321
20 201920

About Lu Han

Lu Han is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Accounting and Computer Vision and Pattern Recognition, having authored 127 papers that have together received 1.7k indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (10 papers), Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (8 papers), Speech and Audio Processing (8 papers), Opportunistic and Delay-Tolerant Networks (7 papers), Text and Document Classification Technologies (7 papers), Topic Modeling (6 papers) and Imbalanced Data Classification Techniques (6 papers). The work is most often cited by research in Signal Processing (332 citations), Artificial Intelligence (619 citations), Molecular Medicine (66 citations), Computer Vision and Pattern Recognition (195 citations) and Accounting (94 citations). Lu Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haşim Sak, Anshuman Tripathi, Qian Zhang, Liviu Iftode, Shankar Kumar, Erik McDermott, Liyan Han, Zhi Su, Pravin Shankar and Chongchong Yu. Their work appears in journals such as Applied Sciences, Sensors, Knowledge and Information Systems, International Journal of Disaster Risk Reduction 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.

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