Rongfang Bie

5.0k citations
174 papers · 3.2k indexed · 1 hit paper · h-index 28

Rongfang Bie

161 papers receiving 3.0k citations

Hit Papers

Internet of Things and Big Data Analytics for Smart and C...6132016202620192022200400600

Peers

Rongfang Bie
Comparison fields: 5 of 156
  • Computer Networks and Communications 899
  • Computer Vision and Pattern Recognition 642
  • Artificial Intelligence 885
  • Information Systems 586
  • Computer Science Applications 141
Replace Yunchuan Sun with:
Yunchuan Sun China
Jing He China
Mohammad R. Khosravi Iran
Jukka Riekki Finland
Wei Liang China
Haruna Chiroma Nigeria
Lei Wang China
Xiaochun Cheng United Kingdom
Wazir Zada Khan Saudi Arabia
Weishan Zhang China
Rongfang Bie relative to Yunchuan Sun China Yunchuan Sun's profile →
Citations per field
00.5×1.7×
Yunchuan Sun · 1×
Citations per year

Countries citing papers authored by Rongfang Bie

Since Specialization
Citations

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

Fields of papers citing papers by Rongfang Bie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20242
4 20243
5 20230
6 20231
7 20222
8 20224
9 202212
10 20203
11 201828
12 20185
13
Sentiment Analysis of Weibo Comment Texts Based on Extended Vocabulary and Convolutional Neural Network.
20181
14
Contextual Spectrum Inpainting with Feature Learning and Context Losses
20171
15 201742
16 201611
17 2015198
18 201442
19 20137
20
Random Forest and PCA for Self-Organizing Maps based Automatic Music Genre Discrimination.
20068

About Rongfang Bie

Rongfang Bie is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 174 papers that have together received 3.2k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (16 papers), IoT and Edge/Fog Computing (15 papers), Advanced Image and Video Retrieval Techniques (11 papers), Auction Theory and Applications (10 papers), Image Retrieval and Classification Techniques (10 papers), Anomaly Detection Techniques and Applications (10 papers), Mobile Crowdsensing and Crowdsourcing (10 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Computer Networks and Communications (899 citations), Computer Vision and Pattern Recognition (642 citations) and Artificial Intelligence (885 citations). Rongfang Bie has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Yunchuan Sun, Houbing Song, Antonio J. Jara, Junqi Guo, Xiuzhen Cheng, Hao Wu, Rashid Mehmood, Shenling Wang, Hussain Dawood and Guangzhi Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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