---
title: "Zhichun Wang — author profile and papers — Elamur Research"
description: "Zhichun Wang, China Pharmaceutical University: 3 papers on Elamur Research (2018–2026), h-index 34 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/zhichun-wang/"
---
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# Zhichun Wang

Zhichun Wang has 3 papers in our library, in 2018–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Dingling Xu](https://md.research.elamur.ai/free/en/authors/dingling-xu/), [Qingsong Lv](https://md.research.elamur.ai/free/en/authors/qingsong-lv/), [Ruobing Wang](https://md.research.elamur.ai/free/en/authors/ruobing-wang/).

3 papers in our library · 2018–2026

[OpenAlex](https://openalex.org/A5019206012) · [ORCID](https://orcid.org/0009-0005-5681-8252) · [**h-index 34**](https://openalex.org/authors/A5019206012) · [247 works](https://openalex.org/works?filter=author.id:A5019206012) · [4,100 citations](https://openalex.org/works?filter=author.id:A5019206012&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhichun-wang/#papers) · [🔗 Cited 77 times in our library](https://md.research.elamur.ai/free/en/authors/zhichun-wang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3146](https://md.research.elamur.ai/free/en/paper-stars/page/32/#star-3146)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zhichun+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhichun+Wang) · [dblp](https://dblp.org/search?q=Zhichun+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhichun+Wang)

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2003–2026 · 48 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Northeast Institute of Geography and Agroecology** Changchun · China 2003–2026 · 45 papers*current*](https://ror.org/01a9z1q73) · [🎓**China Pharmaceutical University** Nanjing · China 2026 · 1 paper*current*](https://ror.org/01sfm2718) · [🔬**State Key Laboratory of Natural Medicine** Nanjing 2026 · 1 paper*current*](https://ror.org/01as92r37) · [🎓**Beijing Normal University** Beijing · China 2012–2025 · 31 papers](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/) · [🎓**Inner Mongolia University of Science and Technology** Baotou · China 2005–2025 · 13 papers](https://ror.org/044rgx723) · [🔬**China Electric Power Research Institute** Beijing 2016–2025 · 10 papers](https://ror.org/05ehpzy81) · [🎓**University of Twente** Enschede · Netherlands 2001–2004 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-twente/) · [🎓**Tsinghua University** Beijing · China 2010–2013 · 6 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Nanjing Agricultural University** Nanjing · China 2006–2010 · 6 papers](https://ror.org/05td3s095)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 33 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 5 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Knowledge graph · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-graph/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zhichun-wang/year/2026/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/zhichun-wang/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/)** *(2018 · 685 citations)* Multilingual knowledge graphs such as DBpedia and YAGO describe entities in several languages, but many entities lack cross-lingual links to their counterparts in other languages.
2. **[R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-search-empowering-llm-reasoning/)** *(2026 · 7 citations)* LLMs with strong reasoning skills still hallucinate on knowledge-heavy questions. Prompt-driven multi-step RAG pipelines also tend to choose poorly when and what to retrieve, and they keep reasoning and retrieval only loosely connected.
3. **[CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering](https://md.research.elamur.ai/free/en/papers/lu-2026-cogbench-benchmarking-cognitive-alignment-large/)** *(2026)* LLMs used as tutors usually return one explanation regardless of who asks. A fourth-grader and a high-schooler need different reasoning for the same problem. Existing education benchmarks give different questions to different grades, so they cannot separate problem difficulty from how well a model adapts its…

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhichun Wang, Qingsong Lv, Xiaohan Lan, et al.*2018 · 685 citations*
2. **[Knowledge Graph Alignment with Entity-Pair Embedding ↗](https://aclanthology.org/2020.emnlp-main.130/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Zhichun Wang, Jinjian Yang, Xiaoju Ye*2020 · 59 citations*
3. **[R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-search-empowering-llm-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingfei Zhao, Ruobing Wang, Dingling Xu, et al.*2026 · 7 citations*
4. **[CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering](https://md.research.elamur.ai/free/en/papers/lu-2026-cogbench-benchmarking-cognitive-alignment-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Lu, Zhichun Wang, Yuanhao Sun, et al.*2026*

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Dingling Xu](https://md.research.elamur.ai/free/en/authors/dingling-xu/)
- [Qingsong Lv](https://md.research.elamur.ai/free/en/authors/qingsong-lv/)
- [Ruobing Wang](https://md.research.elamur.ai/free/en/authors/ruobing-wang/)
- [Xin Wang](https://md.research.elamur.ai/free/en/authors/xin-wang/)
- [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2018](https://md.research.elamur.ai/free/en/venues/emnlp/2018/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

## Cited by

Papers of our library cite their works 77 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhichun-wang/cited-by/).

Updated 1 November 2026
