Xiaobing Liu

2.4k citations
96 papers · 1.5k indexed · h-index 21
Topics
Speech Recognition and Synthesis (30 papers)Natural Language Processing Techniques (23 papers)Topic Modeling (17 papers)

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 Mehdi Ghatee with:
Mehdi Ghatee Iran
Xiangbing Zhou China
Chilukuri K. Mohan India
Antonello Rizzi Italy
Krzysztof Socha Belgium
Zaer S. Abo‐Hammour Jordan
Vadim Sokolov United States
Mete Çelik Türkiye
Xiaobing Liu relative to Mehdi Ghatee Iran Mehdi Ghatee's profile →
Citations per field
00.5×7.3×
Mehdi Ghatee · 1×
Citations per year

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
#WorkIndexed 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

About Xiaobing Liu

Xiaobing Liu is a scholar working on Transportation, Automotive Engineering and Signal Processing, having authored 96 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (30 papers), Natural Language Processing Techniques (23 papers) and Topic Modeling (17 papers). The work is most often cited by research in Signal Processing (264 citations), Transportation (162 citations) and Artificial Intelligence (651 citations). Xiaobing Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent 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. Their work appears in journals such as PLoS ONE, Applied Energy and European Journal of Operational Research.

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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