Heasoo Hwang

446 total citations
11 papers, 304 citations indexed

About

Heasoo Hwang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Heasoo Hwang has authored 11 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Heasoo Hwang's work include Web Data Mining and Analysis (4 papers), Semantic Web and Ontologies (3 papers) and Caching and Content Delivery (3 papers). Heasoo Hwang is often cited by papers focused on Web Data Mining and Analysis (4 papers), Semantic Web and Ontologies (3 papers) and Caching and Content Delivery (3 papers). Heasoo Hwang collaborates with scholars based in United States, South Korea and Germany. Heasoo Hwang's co-authors include Yannis Papakonstantinou, Vagelis Hristidis, Andrey Balmin, Berthold Reinwald, Erik Nijkamp, Youngki Park, Joon Seok Lim, Jaeseung Shin, Sang-goo Lee and Sang‐goo Lee and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Applied Sciences.

In The Last Decade

Heasoo Hwang

11 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heasoo Hwang United States 6 136 119 85 73 69 11 304
Fatin A. Elhaj Malaysia 6 318 2.3× 241 2.0× 78 0.9× 71 1.0× 50 0.7× 11 495
Adyasha Rath India 9 130 1.0× 56 0.5× 71 0.8× 16 0.2× 31 0.4× 25 306
Anam Mustaqeem Pakistan 6 93 0.7× 53 0.4× 120 1.4× 18 0.2× 12 0.2× 8 381
Gal Lavee Israel 9 39 0.3× 25 0.2× 153 1.8× 29 0.4× 44 0.6× 13 302
Deepak Gupta India 10 76 0.6× 15 0.1× 104 1.2× 38 0.5× 18 0.3× 41 283
Chandan Kumar Jha India 11 258 1.9× 113 0.9× 54 0.6× 8 0.1× 89 1.3× 18 368
Mohd Foad Rohani Malaysia 10 25 0.2× 16 0.1× 59 0.7× 91 1.2× 37 0.5× 32 277
Hammed A. Mojeed Nigeria 9 53 0.4× 31 0.3× 43 0.5× 30 0.4× 22 0.3× 17 227
Namrata Dhanda India 8 52 0.4× 44 0.4× 41 0.5× 23 0.3× 7 0.1× 50 186
Ahmet İlhan Cyprus 8 41 0.3× 46 0.4× 137 1.6× 14 0.2× 19 0.3× 18 424

Countries citing papers authored by Heasoo Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Heasoo Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heasoo Hwang

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

All Works

11 of 11 papers shown
2.
Hwang, Heasoo, et al.. (2018). A robust deep convolutional neural network with batch-weighted loss for heartbeat classification. Expert Systems with Applications. 122. 75–84. 169 indexed citations
3.
Park, Youngki, Heasoo Hwang, & Sang‐goo Lee. (2015). A novel algorithm for scalable k-nearest neighbour graph construction. Journal of Information Science. 42(2). 274–288. 3 indexed citations
4.
Park, Youngki, Heasoo Hwang, & Sang-goo Lee. (2015). A Fast k-Nearest Neighbor Search Using Query-Specific Signature Selection. Seoul National University Open Repository (Seoul National University). 1883–1886. 3 indexed citations
5.
Hwang, Heasoo, Andrey Balmin, Berthold Reinwald, & Erik Nijkamp. (2010). BinRank: Scaling Dynamic Authority-Based Search Using Materialized Subgraphs. IEEE Transactions on Knowledge and Data Engineering. 22(8). 1176–1190. 5 indexed citations
6.
Papakonstantinou, Yannis & Heasoo Hwang. (2010). Dynamic link-based ranking over large-scale graph-structured data. 1 indexed citations
7.
Hwang, Heasoo, Andrey Balmin, Berthold Reinwald, & Erik Nijkamp. (2009). BinRank: Scaling Dynamic Authority-Based Search Using Materialized SubGraphs. Proceedings - International Conference on Data Engineering. 1. 66–77. 6 indexed citations
8.
Hristidis, Vagelis, Heasoo Hwang, & Yannis Papakonstantinou. (2008). Authority-based keyword search in databases. ACM Transactions on Database Systems. 33(1). 1–40. 81 indexed citations
9.
Balmin, Andrey, Heasoo Hwang, Erik Nijkamp, et al.. (2008). DBPubs. Proceedings of the VLDB Endowment. 1(2). 1456–1459. 4 indexed citations
10.
Hwang, Heasoo, Andrey Balmin, Hamid Pirahesh, & Berthold Reinwald. (2007). Information discovery in loosely integrated data. 1147–1149. 2 indexed citations
11.
Hwang, Heasoo, Vagelis Hristidis, & Yannis Papakonstantinou. (2006). ObjectRank. 796–798. 25 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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