Bo Xu

11.8k citations
293 papers · 6.7k indexed · 5 hit papers · h-index 35

Bo Xu

268 papers receiving 6.4k citations

Hit Papers

Attention Spiking Neural...12220162026201920224008001.2k

Peers

Bo Xu
Comparison fields: 5 of 181
  • Artificial Intelligence 4.4k
  • Signal Processing 1.3k
  • Computer Vision and Pattern Recognition 951
  • Cognitive Neuroscience 637
  • Information Systems 548
Replace Fu-Lai Chung with:
Fu-Lai Chung Hong Kong
Shiliang Sun China
Jeff Bilmes United States
Robi Polikar United States
Patrick Nguyen United States
Razvan Pascanu United States
Haşim Sak United States
Ronan Collobert United States
Amit Konar India
Tong Zhang China
Bo Xu relative to Fu-Lai Chung Hong Kong Fu-Lai Chung's profile →
Citations per field
00.5×1.5×2.4×
Fu-Lai Chung · 1×
Citations per year

Countries citing papers authored by Bo Xu

Since Specialization
Citations

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

Fields of papers citing papers by Bo Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bo Xu, 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 Bo Xu Line = papers co-authored together Bo Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20240
5 20242
6 20246
7 20239
8 202325
9 20233
10 202314
11 20237
12 20230
13 20221
14 202113
15 202038
16
Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognitionbreakdown →
2018621
17 20184
18
Hierarchical Memory Networks for Answer Selection on Unknown Words.
20162
19
MOBI-DIC: MOBIle DIscovery of loCal Resources in Peer-to-Peer Wireless Network.
200513
20
Research of Chinese-English Bilingual Acoustic Modeling
20042

About Bo Xu

Bo Xu is a scholar working on Signal Processing, Artificial Intelligence and Cognitive Neuroscience, having authored 293 papers that have together received 6.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (80 papers), Natural Language Processing Techniques (55 papers), Music and Audio Processing (55 papers), Speech and Audio Processing (54 papers), Topic Modeling (41 papers), Neural dynamics and brain function (36 papers), Advanced Memory and Neural Computing (34 papers) and Data Management and Algorithms (16 papers). The work is most often cited by research in Artificial Intelligence (4.4k citations), Signal Processing (1.3k citations) and Computer Vision and Pattern Recognition (951 citations). Bo Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongwei Hao, Linhao Dong, Shuang Xu, Zhenyu Qi, Peng Zhou, Jun Tian, Bingchen Li, Wei Shi, Jiaming Xu and Ouri Wolfson. Their work appears in journals such as Science, Circulation and Neuron.

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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