Ming Gong

6.0k citations
51 papers · 2.7k indexed · 2 hit papers · h-index 18
Topics
Topic Modeling (29 papers)Natural Language Processing Techniques (27 papers)Multimodal Machine Learning Applications (14 papers)
Journals
SHILAP Revista de lepidopterologíaMedicineRemote Sensing
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Ming Gong

49 papers receiving 2.6k citations

Hit Papers

CodeBERT: A Pre-Trained Model for Programming and Natural...2020202620222024202020204008001.2k

Peers

Ming Gong
Comparison fields: 5 of 106
  • Artificial Intelligence 1.7k
  • Information Systems 1.1k
  • Computer Vision and Pattern Recognition 682
  • Software 521
  • Signal Processing 368
Replace Lili Mou with:
Lili Mou China
Xinyu Xing United States
Yansong Feng China
Guozhu Meng China
Esther Guerra Spain
Christopher Bogart United States
Robin Laney United Kingdom
Nicholas Carlini United States
Hongji Yang United Kingdom
Min Yang China
Ming Gong relative to Lili Mou China Lili Mou's profile →
Citations per field
00.5×4.8×
Lili Mou · 1×
Citations per year

Countries citing papers authored by Ming Gong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Gong. A scholar is included among the top collaborators of Ming Gong 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 Ming Gong. Ming Gong 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 1
2 3
3 1
4 3
5 3
6 4
7 20
8 43
9 1
10 17
11 2
12 3
13 26
14
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Trainingbreakdown →
479
15 4
16 2
17 104
18 8
19
A Power Electronic Fault Diagnosis Method Based on Bond Graph Model
1
20 2

About Ming Gong

Ming Gong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (27 papers) and Multimodal Machine Learning Applications (14 papers). The work is most often cited by research in Software (521 citations), Artificial Intelligence (1.7k citations) and Information Systems (1.1k citations). Ming Gong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Daxin Jiang, Nan Duan, Linjun Shou, Ming Zhou, Duyu Tang, Daya Guo, Zhangyin Feng, Ting Liu, Bing Qin and Xiaocheng Feng. Their work appears in journals such as SHILAP Revista de lepidopterología, Medicine and Remote Sensing.

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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