Xiaobing Liu

2.4k total citations
96 papers, 1.5k citations indexed

About

Xiaobing Liu is a scholar working on Artificial Intelligence, Transportation and Automotive Engineering. According to data from OpenAlex, Xiaobing Liu has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 24 papers in Transportation and 17 papers in Automotive Engineering. Recurrent topics in Xiaobing Liu's work include Speech Recognition and Synthesis (30 papers), Natural Language Processing Techniques (23 papers) and Topic Modeling (17 papers). Xiaobing Liu is often cited by papers focused on Speech Recognition and Synthesis (30 papers), Natural Language Processing Techniques (23 papers) and Topic Modeling (17 papers). Xiaobing Liu collaborates with scholars based in China, United Kingdom and United States. Xiaobing Liu's co-authors include Mark Gales, Philip C. Woodland, C.K. Lee, S.C. Fan, Xuedong Yan, Xiaoye Chen, Yizhou Wang, Rui Yan, Jie Tang and Xiaoming Li and has published in prestigious journals such as PLoS ONE, Applied Energy and European Journal of Operational Research.

In The Last Decade

Xiaobing Liu

88 papers receiving 1.4k citations

Peers

Xiaobing Liu
Comparison fields: 5 of 137
  • Artificial Intelligence 651
  • Signal Processing 264
  • Mechanics of Materials 167
  • Transportation 162
  • Automotive Engineering 115
Replace Xuefeng Liu with:
Xuefeng Liu China
Xiangbing Zhou China
Abolfazl Mehbodniya Kuwait
Gianni D’Angelo Italy
Antonello Rizzi Italy
Mehdi Ghatee Iran
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Zaer S. Abo‐Hammour Jordan
Xuefeng Liu China View profile →
Citations per field, relative to Xiaobing Liu
Xiaobing Liu · 1×
Citations per year, relative to Xiaobing Liu
Xiaobing Liu · 1×

Countries citing papers authored by Xiaobing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Liu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 0
5 7
6 5
7 1
8 1
9 9
10 1
11
Research on Task Allocation of Geographic Location Related Mobile Sensing System.
3
12 19
13
EXPERIMENTAL STUDY ON HELICAL LINE PARAMETERS AND RAIN-WIND INDUCED VIBRATION CONTROL OF STAY-CABLES
2
14 5
15 22
16
Improving Lightly Supervised Training for Broadcast Transcriptions
3
17
AN IMPROVED CLUSTERING ALGORITHM FOR PRODUCT FAMILY DESIGN OF PAPER CURRENCY SORTER
0
18 16
19
The Application of Lonworks Fieldbus Technology in Environment Inspect System
1
20 3

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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