Hanbiao Wang

684 citations
12 papers · 512 · h-index 7

Impact in

Papers in

Hanbiao Wang

12 papers receiving 474 citations

Peers

Hanbiao Wang
Comparison fields: 5 of 55
  • Computer Networks and Communications 390
  • Developmental Biology 15
  • Signal Processing 67
  • Artificial Intelligence 154
  • Electrical and Electronic Engineering 223
Replace Gábor Pap with:
Gábor Pap United States
Sreeraj Rajendran Belgium
Yufan Cheng China
Benjian Hao China
Károly Molnár United States
Xiaohong Sheng United States
Enyang Xu United States
Daniel Denkovski North Macedonia
Mingsen Xu United States
William Ng United Kingdom
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Citations per field
00.5×
Gábor Pap · 1×
Citations per year

Countries citing papers authored by Hanbiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hanbiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Hanbiao Wang, 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 Hanbiao Wang Line = papers co-authored together Hanbiao Wang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004244
2 200395
3 200475
4 200446
5 200617
6 200312
7
Wireless sensor networks for acoustic monitoring
20068
8 20045
9
A Reliable Multicast Mechanism for Sensor Network Applications
20053
10
Entropy-based Sensor Selection for Localization
20033
11 20053
12
A Platform for Collaborative Acoustic Signal Processing
20051

About Hanbiao Wang

Hanbiao Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Developmental Biology, having authored 12 papers that have together received 512 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (7 papers), Speech and Audio Processing (5 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Energy Efficient Wireless Sensor Networks (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Animal Vocal Communication and Behavior (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (390 citations), Developmental Biology (15 citations), Signal Processing (67 citations), Artificial Intelligence (154 citations) and Electrical and Electronic Engineering (223 citations). Hanbiao Wang has collaborated with scholars based in United States and France. Frequent co-authors include Deborah Estrin, Kung Yao, Greg Pottie, Xiaoyan Hong, Mário Gerla, L. Clare, Lewis Girod, Jeremy Elson, Ralph E. Hudson and D. Maniezzo. Their work appears in journals such as Journal of Communications and Networks, IEEE Transactions on Mobile Computing, ACM SIGCOMM Computer Communication Review, Proceedings - IEEE Aerospace Conference and eScholarship (California Digital Library).

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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