Binxuan Huang

1.1k total citations
10 papers, 402 citations indexed

About

Binxuan Huang is a scholar working on Artificial Intelligence, Signal Processing and Transportation. According to data from OpenAlex, Binxuan Huang has authored 10 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Signal Processing and 3 papers in Transportation. Recurrent topics in Binxuan Huang's work include Data Management and Algorithms (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Geographic Information Systems Studies (2 papers). Binxuan Huang is often cited by papers focused on Data Management and Algorithms (3 papers), Human Mobility and Location-Based Analysis (3 papers) and Geographic Information Systems Studies (2 papers). Binxuan Huang collaborates with scholars based in United States and China. Binxuan Huang's co-authors include Kathleen M. Carley, Wei Wei, Yu Zhang, Yan Zhang, Zhengyang Wang, Yizhou Sun, Jingbo Shang, Yang Wang, Prashant Shiralkar and Chaoqun Zhang and has published in prestigious journals such as ACS Sustainable Chemistry & Engineering, Proceedings of the VLDB Endowment and IEEE Transactions on Network Science and Engineering.

In The Last Decade

Binxuan Huang

8 papers receiving 385 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Binxuan Huang United States	6	366	39	20	18	18	10	402
Stephan Gouws South Africa	8	449 1.2×	44 1.1×	12 0.6×	70 3.9×	4 0.2×	9	484
Sabino Miranda‐Jiménez Mexico	8	160 0.4×	44 1.1×	24 1.2×	8 0.4×	5 0.3×	28	195
Ahmed Mourad Australia	6	202 0.6×	61 1.6×	21 1.1×	14 0.8×	3 0.2×	12	240
Xinxiong Chen China	6	411 1.1×	86 2.2×	8 0.4×	40 2.2×	4 0.2×	11	443
Vlad Tanasescu United Kingdom	6	96 0.3×	77 2.0×	6 0.3×	6 0.3×	8 0.4×	20	126
Lianzhe Huang China	5	288 0.8×	41 1.1×	10 0.5×	27 1.5×	3 0.2×	5	319
Sarik Ghazarian United States	6	137 0.4×	93 2.4×	27 1.4×	46 2.6×	7 0.4×	11	202
Payal Bajaj United States	6	84 0.2×	27 0.7×	21 1.1×	42 2.3×	3 0.2×	11	127
Carmine Cesarano Italy	5	226 0.6×	73 1.9×	31 1.6×	10 0.6×	2 0.1×	15	263
Kazutaka Shimada Japan	9	150 0.4×	48 1.2×	33 1.6×	42 2.3×	5 0.3×	50	216

Countries citing papers authored by Binxuan Huang

Since Specialization

Citations

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

Fields of papers citing papers by Binxuan Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binxuan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Binxuan Huang. A scholar is included among the top collaborators of Binxuan Huang 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 Binxuan Huang. Binxuan Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Pan, Hongxing, Mingde Tong, Binxuan Huang, et al.. (2024). Fully Biobased High-Strength and High-Toughness Double Cross-Linked Cellulose Hydrogel for Flexible Electrolytes. ACS Sustainable Chemistry & Engineering. 12(50). 18231–18244. 7 indexed citations

2.

Huang, Zijie, Binxuan Huang, Jingbo Shang, et al.. (2023). Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. 10105–10118. 6 indexed citations

3.

Sarkhel, Ritesh, et al.. (2023). Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages. Proceedings of the VLDB Endowment. 16(11). 3098–3110. 3 indexed citations

4.

Huang, Binxuan, et al.. (2020). Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching. 4178–4182.

5.

Huang, Binxuan & Kathleen M. Carley. (2019). Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. 5468–5476. 210 indexed citations

6.

Huang, Binxuan & Kathleen M. Carley. (2019). Inductive Graph Representation Learning with Recurrent Graph Neural Networks. arXiv (Cornell University). 1 indexed citations

7.

Huang, Binxuan & Kathleen M. Carley. (2019). A Hierarchical Location Prediction Neural Network for Twitter User Geolocation. 4731–4741. 26 indexed citations

8.

Huang, Binxuan & Kathleen M. Carley. (2018). Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. 1091–1096. 135 indexed citations

9.

Huang, Binxuan & Kathleen M. Carley. (2018). Location Order Recovery in Trails with Low Temporal Resolution. IEEE Transactions on Network Science and Engineering. 6(4). 724–733. 1 indexed citations

10.

Zhang, Yu, Wei Wei, Binxuan Huang, Kathleen M. Carley, & Yan Zhang. (2017). RATE. 2423–2426. 13 indexed citations

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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