個(gè)人簡(jiǎn)介

1、2020-09至2023-12，武漢大學(xué)，信息管理學(xué)院，數(shù)據(jù)科學(xué)專(zhuān)業(yè)

2、2017-09至2020-04，武漢大學(xué)，數(shù)學(xué)與統(tǒng)計(jì)學(xué)院，概率論與數(shù)理統(tǒng)計(jì)專(zhuān)業(yè)，

3、2013-09至2017-04，武漢理工大學(xué)，理學(xué)院，信息與計(jì)算科學(xué)專(zhuān)業(yè)

研究方向

文本挖掘、科學(xué)學(xué)、概率圖模型、大模型

學(xué)術(shù)成果

1. Huang, S., Qian, J., Huang, Y., Lu, W., Bu, Y., Yang, J., & Cheng, Q. (2022). Disclosing the relationship between citation structure and future impact of a publication. Journal of the Association for Information Science and Technology, 73(7), 1025-1042.

2. Huang, S., Huang, Y., Bu, Y., Lu, W., Qian, J., & Wang, D. (2022). Fine-grained citation count prediction via a transformer-based model with among-attention mechanism. Information Processing & Management, 59(2), 102799.

3. Huang, S., Lu, W., Bu, Y., & Huang, Y. (2022). Revisiting the exploration-exploitation behavior of scholars' research topic selection: Evidence from a large-scale bibliographic database. Information Processing & Management, 59(6), 103110.

4. Huang, S., Huang, Y., Bu, Y., Luo, Z., & Lu, W. (2023). Disclosing the interactive mechanism behind scientists’ topic selection behavior from the perspective of the productivity and the impact. Journal of Informetrics, 17(2), 101409.

5. Huang, S., Lu, W., Huang, Y., & Luo, Z. (2023). Quantifying scientists’ research ability by taking institutions’ scientific impact as priori information. Journal of Information Science, 0(0).

6. Lu, W., Huang, S., Yang, J., Bu, Y., Cheng, Q., & Huang, Y. (2021). Detecting research topic trends by author-defined keyword frequency. Information Processing & Management, 58(4), 102594.

7. Yang, J., Lu, W., Hu, J., & Huang, S. (2022). A novel emerging topic detection method: A knowledge ecology perspective. Information Processing & Management, 59(2), 102843.

8. Yang, J., Bu, Y., Lu, W., Huang, Y., Hu, J., Huang, S., & Zhang, L. (2022). Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process. Journal of Informetrics, 16(1), 101239.

9. Yang, J., Lu, W., Huang, Y., Cheng, Q., Zhang, L., & Huang, S. (2022). Understanding knowledge role transitions: A perspective of knowledge codification. Quantitative Science Studies, 3(4), 1133-1155.

10. 步一,黃圣智,黃永等.學(xué)者研究主題演化的時(shí)空測(cè)度:速度、覆蓋度和迂回度[J].圖書(shū)情報(bào)工作,2022,66(24):84-91.