Gang Li

47.6k citations
590 papers · 10.7k indexed · 7 hit papers · h-index 46
Topics
Diverse Aspects of Tourism Research (39 papers)Digital Marketing and Social Media (33 papers)Privacy-Preserving Technologies in Data (31 papers)

In The Last Decade

Gang Li

543 papers receiving 10.1k citations

Hit Papers

Conversational speech transcription using context-depende...201120262016202120112022201120142019100200300400500

Peers

Gang Li
Comparison fields: 5 of 214
  • Artificial Intelligence 4.1k
  • Sociology and Political Science 2.4k
  • Signal Processing 1.9k
  • Computer Vision and Pattern Recognition 1.4k
  • Information Systems 1.1k
Replace Spyros Makridakis with:
Spyros Makridakis France
Bing Liu United States
Mark Hansen United States
Tomasz Imieliński United States
Yanchun Zhang Australia
Arun Swami United States
Paulo Cortez Portugal
Ronald R. Yager United States
Jaideep Srivastava United States
Padhraic Smyth United States
Gang Li relative to Spyros Makridakis France Spyros Makridakis's profile →
Citations per field
00.5×5.6×
Spyros Makridakis · 1×
Citations per year

Countries citing papers authored by Gang Li

Since Specialization
Citations

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

Fields of papers citing papers by Gang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Li. A scholar is included among the top collaborators of Gang Li 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 Gang Li. Gang Li 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 5
2 12
3 2
4 17
5 0
6 0
7 0
8 8
9 1
10 2
11 0
12 0
13 3
14 8
15 7
16 3
17 14
18 1
19
1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNsbreakdown →
439
20 16

About Gang Li

Gang Li is a scholar working on Tourism, Leisure and Hospitality Management, Signal Processing and Artificial Intelligence, having authored 590 papers that have together received 10.7k indexed citations. Recurring topics across this work include Diverse Aspects of Tourism Research (39 papers), Digital Marketing and Social Media (33 papers) and Privacy-Preserving Technologies in Data (31 papers). The work is most often cited by research in Signal Processing (1.9k citations), Tourism, Leisure and Hospitality Management (227 citations) and Artificial Intelligence (4.1k citations). Gang Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Rob Law, Dong Yu, Frank Seide, Huy Quan Vu, Jia Rong, Zeng Meng, Changting Zhong, Wanlei Zhou, Chen Xie and Tianqing Zhu. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.

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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