Haibin Lv

About

Haibin Lv is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Haibin Lv has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Haibin Lv’s work include IoT and Edge/Fog Computing (9 papers), Traffic Prediction and Management Techniques (8 papers) and UAV Applications and Optimization (5 papers). Haibin Lv is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Traffic Prediction and Management Techniques (8 papers) and UAV Applications and Optimization (5 papers). Haibin Lv collaborates with scholars based in China, Sweden and United States. Haibin Lv's co-authors include Zhihan Lv, Hailin Feng, Xiaoming Li, Amit Kumar Singh, Bin Hu, Yang Han, Gunasekaran Manogaran, Shuxuan Xie, Yi Zhong and Jinkang Guo and has published in prestigious journals such as Chemical Engineering Journal, Applied Energy and Sensors.

In The Last Decade

Co-authorship network of co-authors of Haibin Lv i

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Fields of papers citing papers by Haibin Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haibin Lv

Since Specialization

Citations

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

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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