Junyi Sha
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Junyi Sha has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Bao Jin
School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China
1 shared publication - Jinsong Zhang
School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China
1 shared publication - Yan Chen
School of Mechanical and Electrical Engineering, Chizhou University, Chizhou 247000, China
1 shared publication - Yijin Zhang
School of Economics and Management, Dalian Minzu University, Dalian 116650, China
1 shared publication
Latest Publications
- Open Access
- 10 May 2022
- Published by MDPI AG in Algorithms
- Vol. 15 (5) , 159
SentenceLDA- and ConNetClus-Based Heterogeneous Academic Network Analysis for Publication Ranking
Scientific papers published in journals or conferences, also considered academic publications, are the manifestation of scientific research achievements. Lots of scientific papers published in digital form bring new challenges for academic evaluation and information retrieval. Therefore, research on the ranking method of scientific papers is significant for the management and evaluation of academic resources. In this paper, we first identify internal and external factors for evaluating scientific papers and propose a publication ranking method based on an analysis of a heterogeneous academic network. We use four types of metadata (i.e., author, venue (journal or conference), topic, and title) as vertexes for creating the network; in there, the topics are trained by the SentenceLDA algorithm with the metadata of the We then use the Gibbs sampling method to create a heterogeneous academic network and apply the ConNetClus algorithm to calculate the probability value of publication ranking. To evaluate the significance of the method proposed in this paper, we compare the ranking results with BM25, PageRank, etc., and homogeneous networks in MAP and NDCG. As shown in our evaluation results, the performance of the method we propose in this paper is better than other baselines for ranking publications.
- 10 May 2022
- Published by MDPI AG in Algorithms
- Vol. 15 (5) , 159
Open AccessSentenceLDA- and ConNetClus-Based Heterogeneous Academic Network Analysis for Publication Ranking
Scientific papers published in journals or conferences, also considered academic publications, are the manifestation of scientific research achievements. Lots of scientific papers published in digital form bring new challenges for academic evaluation and information retrieval. Therefore, research on the ranking method of scientific papers is significant for the management and evaluation of academic resources. In this paper, we first identify internal and external factors for evaluating scientific papers and propose a publication ranking method based on an analysis of a heterogeneous academic network. We use four types of metadata (i.e., author, venue (journal or conference), topic, and title) as vertexes for creating the network; in there, the topics are trained by the SentenceLDA algorithm with the metadata of the We then use the Gibbs sampling method to create a heterogeneous academic network and apply the ConNetClus algorithm to calculate the probability value of publication ranking. To evaluate the significance of the method proposed in this paper, we compare the ranking results with BM25, PageRank, etc., and homogeneous networks in MAP and NDCG. As shown in our evaluation results, the performance of the method we propose in this paper is better than other baselines for ranking publications.