---
title: "Journal of Software — journal, papers and authors"
description: "Journal of Software: 20 works in the Elamur Research library (2021–2025), 3 citations; its topics, authors and institutions."
canonical: "https://research.elamur.ai/free/en/venues/journal-of-software/"
---
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# Journal of Software (软件学报)

Journal

[**20** works in our library](https://md.research.elamur.ai/free/en/venues/journal-of-software/#works) · [**3** citations of these works](https://md.research.elamur.ai/free/en/venues/journal-of-software/#works) · [**3** citations in our library](https://md.research.elamur.ai/free/en/venues/journal-of-software/#works) · [**2021–2025** years of the works here](#years)

## Works by year

Works in our library by year 20 dated works from 2021 to 2025; the busiest year is 2023 with 6.

**The numbers**

| Year | Works |
| --- | --- |
| 2025 | 5 |
| 2024 | 6 |
| 2023 | 6 |
| 2022 | 2 |
| 2021 | 1 |

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (6)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (5)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Knowledge graphs & ontologies (5)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Code & programming languages (4)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Question answering (3)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Machine translation (1)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Fields

[Arts and Humanities (20)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (20)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Works in our library (20)

The most cited first (OpenAlex citations plus our library's).

1. [**Research Progress of Pre-trained Model in Software Engineering (预训练模型在软件工程领域应用研究进展)**Lina Gong (宫丽娜), Yiren Zhou (周易人), Yu Qiao (乔羽), et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gong-2024-pre-trained-model/)
2. [**QA-KGNet: Language Model-driven Knowledge Graph Question-answering Model (QA-KGNet: 一种语言模型驱动的知识图谱问答模型)**Shaojie Qiao (乔少杰), Guoping Yang (杨国平), Yong Yu (于泳), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/qiao-2023-qa-kgnet-language/)
3. [**Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)**Zezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yang-2023-deep-learning-code/)
4. [**Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/)
5. [**Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/)
6. [**Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)**Xindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-huaputong-large-language/)
7. [**Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)**Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-application-retrieval-augmented/)
8. [**Robustness Evaluation of ChatGPT Against Chinese Adversarial Attacks (中文对抗攻击下的ChatGPT鲁棒性评估)**Yunting Zhang (张云婷), Lin Ye (叶麟), Baisong Li (李柏松), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-robustness-evaluation-chatgpt/)
9. [**Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models (基于大语言模型的事件常识知识图谱扩展方法)**Qiaojuan Huang (黄俏娟), Cungen Cao (曹存根), Ya Wang (王亚), et al.*2024*](https://md.research.elamur.ai/free/en/papers/huang-2024-method-expanding-event/)
10. [**Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)**Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.*2024*](https://md.research.elamur.ai/free/en/papers/liu-2024-hallucinations-large-language/)
11. [**Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/)
12. [**Survey on Interactive Theorem Proving Based Concurrent Program Verification (基于交互式定理证明的并发程序验证工作综述)**Zhongye Wang (王中烨), Shushu Wu (吴姝姝), Qinxiang Cao (曹钦翔)*2024*](https://md.research.elamur.ai/free/en/papers/wang-2024-interactive-theorem-proving/)
13. [**Research Progress and Trend of Temporal Knowledge Graph Representation and Reasoning (时序知识图谱表示与推理的研究进展与趋势)**Yuhan Wang (王俞涵), Ziyang Chen (陈子阳), Xiang Zhao (赵翔), et al.*2024*](https://md.research.elamur.ai/free/en/papers/wang-2024-trend-temporal-knowledge/)
14. [**Survey on Representation Learning Methods of Knowledge Graph for Link Prediction (面向链接预测的知识图谱表示学习方法综述)**Xueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.*2023*](https://md.research.elamur.ai/free/en/papers/du-2023-representation-learning-methods/)
15. [**Survey on Commonsense Question Answering (常识问答研究综述)**Yifan Fan (范怡帆), Bowei Zou (邹博伟), Qingting Xu (徐庆婷), et al.*2023*](https://md.research.elamur.ai/free/en/papers/fan-2023-commonsense-question-answering/)
16. [**Survey on Learning Communities in Online Education Environment (在线教育环境中学习共同体研究综述)**Juntao Zhang (张俊涛), Xiandi Yang (杨先娣), Wei Song (宋伟), et al.*2023*](https://md.research.elamur.ai/free/en/papers/zhang-2023-learning-communities-online/)
17. [**Methods for Constraint Solving Problems Based on Learn to Reason Model: A Review (基于学习-推理的约束求解方法研究进展)**Yue Zou (邹悦), Jiayang Lai (赖家洋), Yonggang Zhang (张永刚)*2023*](https://md.research.elamur.ai/free/en/papers/zou-2023-methods-constraint-solving/)
18. [**Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)**Yu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.*2022*](https://md.research.elamur.ai/free/en/papers/wang-2022-performance-comparison-deep/)
19. [**Survey on Vision-language Pre-training (视觉语言预训练综述)**Jiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.*2022*](https://md.research.elamur.ai/free/en/papers/yin-2022-vision-language-pre/)
20. [**Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)**Tiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.*2021*](https://md.research.elamur.ai/free/en/papers/zhang-2021-overview-knowledge-graph/)

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.